/usr/local/lib/python3.9/dist-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. warnings.warn( 2024-06-05 13:33:46.838996: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. [nltk_data] Downloading package punkt to /home/aliasgarov/nltk_data... [nltk_data] Package punkt is already up-to-date! [nltk_data] Downloading package stopwords to [nltk_data] /home/aliasgarov/nltk_data... [nltk_data] Package stopwords is already up-to-date! /usr/local/lib/python3.9/dist-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. warnings.warn( The BetterTransformer implementation does not support padding during training, as the fused kernels do not support attention masks. Beware that passing padded batched data during training may result in unexpected outputs. Please refer to https://huggingface.co/docs/optimum/bettertransformer/overview for more details. The BetterTransformer implementation does not support padding during training, as the fused kernels do not support attention masks. Beware that passing padded batched data during training may result in unexpected outputs. Please refer to https://huggingface.co/docs/optimum/bettertransformer/overview for more details. The BetterTransformer implementation does not support padding during training, as the fused kernels do not support attention masks. Beware that passing padded batched data during training may result in unexpected outputs. Please refer to https://huggingface.co/docs/optimum/bettertransformer/overview for more details. The BetterTransformer implementation does not support padding during training, as the fused kernels do not support attention masks. Beware that passing padded batched data during training may result in unexpected outputs. Please refer to https://huggingface.co/docs/optimum/bettertransformer/overview for more details. The BetterTransformer implementation does not support padding during training, as the fused kernels do not support attention masks. Beware that passing padded batched data during training may result in unexpected outputs. Please refer to https://huggingface.co/docs/optimum/bettertransformer/overview for more details. Some weights of the model checkpoint at textattack/roberta-base-CoLA were not used when initializing RobertaForSequenceClassification: ['roberta.pooler.dense.bias', 'roberta.pooler.dense.weight'] - This IS expected if you are initializing RobertaForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model). - This IS NOT expected if you are initializing RobertaForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). The BetterTransformer implementation does not support padding during training, as the fused kernels do not support attention masks. Beware that passing padded batched data during training may result in unexpected outputs. Please refer to https://huggingface.co/docs/optimum/bettertransformer/overview for more details. Framework not specified. Using pt to export the model. Some weights of the model checkpoint at textattack/roberta-base-CoLA were not used when initializing RobertaForSequenceClassification: ['roberta.pooler.dense.bias', 'roberta.pooler.dense.weight'] - This IS expected if you are initializing RobertaForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model). - This IS NOT expected if you are initializing RobertaForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). Using the export variant default. Available variants are: - default: The default ONNX variant. ***** Exporting submodel 1/1: RobertaForSequenceClassification ***** Using framework PyTorch: 2.3.0+cu121 Overriding 1 configuration item(s) - use_cache -> False Framework not specified. Using pt to export the model. Using the export variant default. Available variants are: - default: The default ONNX variant. Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41. Non-default generation parameters: {'max_length': 512, 'min_length': 8, 'num_beams': 2, 'no_repeat_ngram_size': 4} /usr/local/lib/python3.9/dist-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. warnings.warn( ***** Exporting submodel 1/3: T5Stack ***** Using framework PyTorch: 2.3.0+cu121 Overriding 1 configuration item(s) - use_cache -> False ***** Exporting submodel 2/3: T5ForConditionalGeneration ***** Using framework PyTorch: 2.3.0+cu121 Overriding 1 configuration item(s) - use_cache -> True /usr/local/lib/python3.9/dist-packages/transformers/modeling_utils.py:1017: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs! if causal_mask.shape[1] < attention_mask.shape[1]: ***** Exporting submodel 3/3: T5ForConditionalGeneration ***** Using framework PyTorch: 2.3.0+cu121 Overriding 1 configuration item(s) - use_cache -> True /usr/local/lib/python3.9/dist-packages/transformers/models/t5/modeling_t5.py:503: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs! elif past_key_value.shape[2] != key_value_states.shape[1]: In-place op on output of tensor.shape. See https://pytorch.org/docs/master/onnx.html#avoid-inplace-operations-when-using-tensor-shape-in-tracing-mode In-place op on output of tensor.shape. See https://pytorch.org/docs/master/onnx.html#avoid-inplace-operations-when-using-tensor-shape-in-tracing-mode Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41. Non-default generation parameters: {'max_length': 512, 'min_length': 8, 'num_beams': 2, 'no_repeat_ngram_size': 4} [nltk_data] Downloading package cmudict to [nltk_data] /home/aliasgarov/nltk_data... [nltk_data] Package cmudict is already up-to-date! [nltk_data] Downloading package punkt to /home/aliasgarov/nltk_data... [nltk_data] Package punkt is already up-to-date! [nltk_data] Downloading package stopwords to [nltk_data] /home/aliasgarov/nltk_data... [nltk_data] Package stopwords is already up-to-date! [nltk_data] Downloading package wordnet to [nltk_data] /home/aliasgarov/nltk_data... [nltk_data] Package wordnet is already up-to-date! WARNING: The directory '/home/aliasgarov/.cache/pip' or its parent directory is not owned or is not writable by the current user. The cache has been disabled. Check the permissions and owner of that directory. If executing pip with sudo, you may want sudo's -H flag. Collecting en-core-web-sm==3.7.1 Downloading https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.7.1/en_core_web_sm-3.7.1-py3-none-any.whl (12.8 MB) Requirement already satisfied: spacy<3.8.0,>=3.7.2 in /usr/local/lib/python3.9/dist-packages (from en-core-web-sm==3.7.1) (3.7.2) Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.9/dist-packages (from spacy<3.8.0,>=3.7.2->en-core-web-sm==3.7.1) (24.0) Requirement already satisfied: wasabi<1.2.0,>=0.9.1 in /usr/local/lib/python3.9/dist-packages (from spacy<3.8.0,>=3.7.2->en-core-web-sm==3.7.1) (1.1.2) Requirement already satisfied: numpy>=1.19.0 in /usr/local/lib/python3.9/dist-packages (from spacy<3.8.0,>=3.7.2->en-core-web-sm==3.7.1) (1.26.4) Requirement already satisfied: setuptools in /usr/lib/python3/dist-packages (from spacy<3.8.0,>=3.7.2->en-core-web-sm==3.7.1) (52.0.0) Requirement already satisfied: srsly<3.0.0,>=2.4.3 in /usr/local/lib/python3.9/dist-packages (from 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(2.0.10) Requirement already satisfied: cymem<2.1.0,>=2.0.2 in /usr/local/lib/python3.9/dist-packages (from spacy<3.8.0,>=3.7.2->en-core-web-sm==3.7.1) (2.0.8) Requirement already satisfied: thinc<8.3.0,>=8.1.8 in /usr/local/lib/python3.9/dist-packages (from spacy<3.8.0,>=3.7.2->en-core-web-sm==3.7.1) (8.2.3) Requirement already satisfied: requests<3.0.0,>=2.13.0 in /usr/local/lib/python3.9/dist-packages (from spacy<3.8.0,>=3.7.2->en-core-web-sm==3.7.1) (2.32.3) Requirement already satisfied: spacy-loggers<2.0.0,>=1.0.0 in /usr/local/lib/python3.9/dist-packages (from spacy<3.8.0,>=3.7.2->en-core-web-sm==3.7.1) (1.0.5) Requirement already satisfied: preshed<3.1.0,>=3.0.2 in /usr/local/lib/python3.9/dist-packages (from spacy<3.8.0,>=3.7.2->en-core-web-sm==3.7.1) (3.0.9) Requirement already satisfied: langcodes<4.0.0,>=3.2.0 in /usr/local/lib/python3.9/dist-packages (from spacy<3.8.0,>=3.7.2->en-core-web-sm==3.7.1) (3.4.0) Requirement already satisfied: jinja2 in 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package via spacy.load('en_core_web_sm') /usr/local/lib/python3.9/dist-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. warnings.warn( [youtube] Extracting URL: https://www.youtube.com/watch?v=rXGqKJoQ4qM IMPORTANT: You are using gradio version 4.26.0, however version 4.29.0 is available, please upgrade. -------- Running on local URL: http://0.0.0.0:80 Running on public URL: https://881ad0461434819142.gradio.live This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces) [youtube] rXGqKJoQ4qM: Downloading webpage [youtube] rXGqKJoQ4qM: Downloading ios player API JSON [youtube] rXGqKJoQ4qM: Downloading m3u8 information /usr/local/lib/python3.9/dist-packages/optimum/bettertransformer/models/encoder_models.py:301: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at ../aten/src/ATen/NestedTensorImpl.cpp:178.) hidden_states = torch._nested_tensor_from_mask(hidden_states, ~attention_mask) [generic] Extracting URL: Original BC scores: AI: 6.379470141837373e-05, HUMAN: 0.9999362230300903 Calibration BC scores: AI: 0.02666666666666667, HUMAN: 0.9733333333333334 Input Text: You've asked about machine learning, and we have a watermelon here. You know, you used to go to the store, pick up a watermelon. Maybe your family told you, you push on the end to see if it's soft, and that means it's a good watermelon or if it smells a certain way. That's how you tell if it's a good watermelon. Well, with machine learning, you don't do any of that. You basically try to determine all of the attributes about this watermelon that you can, and you take those attributes and you feed them into a baby machine model that knows nothing, how fat the stripes are, how thin they are, and you feed all these attributes into that model. You go home, you eat the watermelon, come back in the next day, and you tell that model that was a good watermelon, and it remembers all of those attributes and the fact that it was good. And you're going to do that every day for the next ten years. After ten years, that model is going to be able to tell you based on attributes that you give it. If the watermelon you picked up is good or bad, and you may not know why that model is telling you it's good or bad, but you can trust that it has done enough analysis, and it can tell you a percentage, a surety of whether it's good or bad, that when you pick up a watermelon, give it the attributes. If it says it's good, you can take it home and it will be good. Original BC scores: AI: 6.379470141837373e-05, HUMAN: 0.9999362230300903 Calibration BC scores: AI: 0.02666666666666667, HUMAN: 0.9733333333333334 MC Score: {'OPENAI GPT': 2.165152131657536e-12, 'MISTRAL': 5.77177379964173e-13, 'CLAUDE': 9.21127433587778e-13, 'GEMINI': 1.2182041486674655e-12, 'GRAMMAR ENHANCER': 0.026666666666666616} ERROR: [generic] '' is not a valid URL. Set --default-search "ytsearch" (or run yt-dlp "ytsearch:" ) to search YouTube Traceback (most recent call last): File "/usr/local/lib/python3.9/dist-packages/yt_dlp/YoutubeDL.py", line 1606, in wrapper return func(self, *args, **kwargs) File "/usr/local/lib/python3.9/dist-packages/yt_dlp/YoutubeDL.py", line 1741, in __extract_info ie_result = ie.extract(url) File "/usr/local/lib/python3.9/dist-packages/yt_dlp/extractor/common.py", line 734, in extract ie_result = self._real_extract(url) File "/usr/local/lib/python3.9/dist-packages/yt_dlp/extractor/generic.py", line 2349, in _real_extract raise ExtractorError( yt_dlp.utils.ExtractorError: [generic] '' is not a valid URL. Set --default-search "ytsearch" (or run yt-dlp "ytsearch:" ) to search YouTube During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/usr/local/lib/python3.9/dist-packages/gradio/queueing.py", line 527, in process_events response = await route_utils.call_process_api( File "/usr/local/lib/python3.9/dist-packages/gradio/route_utils.py", line 261, in call_process_api output = await app.get_blocks().process_api( File "/usr/local/lib/python3.9/dist-packages/gradio/blocks.py", line 1786, in process_api result = await self.call_function( File "/usr/local/lib/python3.9/dist-packages/gradio/blocks.py", line 1338, in call_function prediction = await anyio.to_thread.run_sync( File "/usr/local/lib/python3.9/dist-packages/anyio/to_thread.py", line 56, in run_sync return await get_async_backend().run_sync_in_worker_thread( File "/usr/local/lib/python3.9/dist-packages/anyio/_backends/_asyncio.py", line 2144, in run_sync_in_worker_thread return await future File "/usr/local/lib/python3.9/dist-packages/anyio/_backends/_asyncio.py", line 851, in run result = context.run(func, *args) File "/usr/local/lib/python3.9/dist-packages/gradio/utils.py", line 759, in wrapper response = f(*args, **kwargs) File "/home/aliasgarov/copyright_checker/audio.py", line 21, in assemblyai_transcribe info = ydl.extract_info(audio_url, download=False) File "/usr/local/lib/python3.9/dist-packages/yt_dlp/YoutubeDL.py", line 1595, in extract_info return self.__extract_info(url, self.get_info_extractor(key), download, extra_info, process) File "/usr/local/lib/python3.9/dist-packages/yt_dlp/YoutubeDL.py", line 1624, in wrapper self.report_error(str(e), e.format_traceback()) File "/usr/local/lib/python3.9/dist-packages/yt_dlp/YoutubeDL.py", line 1073, in report_error self.trouble(f'{self._format_err("ERROR:", self.Styles.ERROR)} {message}', *args, **kwargs) File "/usr/local/lib/python3.9/dist-packages/yt_dlp/YoutubeDL.py", line 1012, in trouble raise DownloadError(message, exc_info) yt_dlp.utils.DownloadError: ERROR: [generic] '' is not a valid URL. Set --default-search "ytsearch" (or run yt-dlp "ytsearch:" ) to search YouTube [youtube] Extracting URL: https://www.youtube.com/watch?v=zhWDdy_5v2w [youtube] zhWDdy_5v2w: Downloading webpage [youtube] zhWDdy_5v2w: Downloading ios player API JSON [youtube] zhWDdy_5v2w: Downloading m3u8 information Original BC scores: AI: 0.0008556331158615649, HUMAN: 0.9991443157196045 Calibration BC scores: AI: 0.08333333333333333, HUMAN: 0.9166666666666666 Input Text: In a single minute, your body produces 120 to 180 million red blood cells. People ask Google 2. 4 million questions and 25 million Coca Cola products are consumed. Many of those bottles will end up in a landfill where the World bank estimates we produce 5 million pounds of garbage. 108 human lives will be lost in this minute, and an adult male will lose 96 million cells. Fortunately, 96 million cells divide, replacing those lost. Speaking of divisions, in the USA, 1. 5 people get divorced, while worldwide 116 people will get married, 83, 300 people have sex, but only 258 babies will be born. And a fetus is developing neurons at a rate of 250, 000 /minute so it's no wonder that a computer simulator simulation takes 60 quadrillion bytes to simulate a minute. An average of 1. 38 rain fall around the world, which is 4. 7 billion bathtubs of water every minute. And with the storms comes approximately 6000 bolts of cloud to ground lightning hitting the earth. A 150 pound person expends 1. 1 calories of energy per minute while sleeping. While the sun provides us with 83. 33 terawatts of energy. The earth will complete 1800 its 940 million around the sun, moving 1034 times faster than a cheetah. 70, 000 hours of Netflix are watched, 300 hours are uploaded to YouTube and you can watch this video and subscribe. Original BC scores: AI: 0.0008556331158615649, HUMAN: 0.9991443157196045 Calibration BC scores: AI: 0.08333333333333333, HUMAN: 0.9166666666666666 MC Score: {'OPENAI GPT': 0.041650297741095244, 'MISTRAL': 2.1457372915515795e-10, 'CLAUDE': 2.8301516389698626e-08, 'GEMINI': 5.853652282894475e-07, 'GRAMMAR ENHANCER': 0.041682422161102316} Original BC scores: AI: 0.0008556331158615649, HUMAN: 0.9991443157196045 Calibration BC scores: AI: 0.08333333333333333, HUMAN: 0.9166666666666666 Input Text: In a single minute, your body produces 120 to 180 million red blood cells. People ask Google 2. 4 million questions and 25 million Coca Cola products are consumed. Many of those bottles will end up in a landfill where the World bank estimates we produce 5 million pounds of garbage. 108 human lives will be lost in this minute, and an adult male will lose 96 million cells. Fortunately, 96 million cells divide, replacing those lost. Speaking of divisions, in the USA, 1. 5 people get divorced, while worldwide 116 people will get married, 83, 300 people have sex, but only 258 babies will be born. And a fetus is developing neurons at a rate of 250, 000 /minute so it's no wonder that a computer simulator simulation takes 60 quadrillion bytes to simulate a minute. An average of 1. 38 rain fall around the world, which is 4. 7 billion bathtubs of water every minute. And with the storms comes approximately 6000 bolts of cloud to ground lightning hitting the earth. A 150 pound person expends 1. 1 calories of energy per minute while sleeping. While the sun provides us with 83. 33 terawatts of energy. The earth will complete 1800 its 940 million around the sun, moving 1034 times faster than a cheetah. 70, 000 hours of Netflix are watched, 300 hours are uploaded to YouTube and you can watch this video and subscribe. Original BC scores: AI: 0.0008556331158615649, HUMAN: 0.9991443157196045 Calibration BC scores: AI: 0.08333333333333333, HUMAN: 0.9166666666666666 MC Score: {'OPENAI GPT': 0.041650297741095244, 'MISTRAL': 2.1457372915515795e-10, 'CLAUDE': 2.8301516389698626e-08, 'GEMINI': 5.853652282894475e-07, 'GRAMMAR ENHANCER': 0.041682422161102316} Original BC scores: AI: 0.0007931223954074085, HUMAN: 0.9992069602012634 Calibration BC scores: AI: 0.08333333333333333, HUMAN: 0.9166666666666666 Input Text: The double sovereign is a gold coin of the United Kingdom with a nominal value of two pounds sterling (2). It features the reigning monarch on its obverse and, most often, Benedetto Pistrucci's depiction of Saint George and the Dragon on the reverse (pictured). It was rarely issued in the first century and a half after its debut in 1820, usually in a new monarch's coronation year or to mark the institution of a new coinage portrait of the monarch. In addition to the usual coinage in Britain, specimens were struck at Australia's Sydney Mint in 1887 and 1902. Most often struck as a proof coin, the double sovereign has been issued for circulation in only four years, and few examples worn from commercial use are known. It is now a collector and bullion coin, and has been struck by the Royal Mint most years since 1980. In some years, it has not been issued and the Royal ['The double sovereign is a gold coin of the United Kingdom with a nominal value of two pounds sterling (£2).', "It features the reigning monarch on its obverse and, most often, Benedetto Pistrucci's depiction of Saint George and the Dragon on the reverse (pictured).", "It was rarely issued in the first century and a half after its debut in 1820, usually in a new monarch's coronation year or to mark the institution of a new coinage portrait of the monarch.", "In addition to the usual coinage in Britain, specimens were struck at Australia's Sydney Mint in 1887 and 1902.", 'Most often struck as a proof coin, the double sovereign has been issued for circulation in only four years, and few examples worn from commercial use are known.', 'It is now a collector and bullion coin, and has been struck by the Royal Mint most years since 1980.', 'In some years, it has not been issued and the Royal'] huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) PLAGIARISM PROCESSING TIME: 10.284763590898365 correcting text..: 0%| | 0/7 [00:00 False Framework not specified. Using pt to export the model. Using the export variant default. Available variants are: - default: The default ONNX variant. Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41. Non-default generation parameters: {'max_length': 512, 'min_length': 8, 'num_beams': 2, 'no_repeat_ngram_size': 4} /usr/local/lib/python3.9/dist-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. warnings.warn( ***** Exporting submodel 1/3: T5Stack ***** Using framework PyTorch: 2.3.0+cu121 Overriding 1 configuration item(s) - use_cache -> False ***** Exporting submodel 2/3: T5ForConditionalGeneration ***** Using framework PyTorch: 2.3.0+cu121 Overriding 1 configuration item(s) - use_cache -> True /usr/local/lib/python3.9/dist-packages/transformers/modeling_utils.py:1017: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs! if causal_mask.shape[1] < attention_mask.shape[1]: ***** Exporting submodel 3/3: T5ForConditionalGeneration ***** Using framework PyTorch: 2.3.0+cu121 Overriding 1 configuration item(s) - use_cache -> True /usr/local/lib/python3.9/dist-packages/transformers/models/t5/modeling_t5.py:503: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs! elif past_key_value.shape[2] != key_value_states.shape[1]: In-place op on output of tensor.shape. See https://pytorch.org/docs/master/onnx.html#avoid-inplace-operations-when-using-tensor-shape-in-tracing-mode In-place op on output of tensor.shape. See https://pytorch.org/docs/master/onnx.html#avoid-inplace-operations-when-using-tensor-shape-in-tracing-mode Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41. Non-default generation parameters: {'max_length': 512, 'min_length': 8, 'num_beams': 2, 'no_repeat_ngram_size': 4} [nltk_data] Downloading package cmudict to [nltk_data] /home/aliasgarov/nltk_data... [nltk_data] Package cmudict is already up-to-date! [nltk_data] Downloading package punkt to /home/aliasgarov/nltk_data... [nltk_data] Package punkt is already up-to-date! [nltk_data] Downloading package stopwords to [nltk_data] /home/aliasgarov/nltk_data... [nltk_data] Package stopwords is already up-to-date! [nltk_data] Downloading package wordnet to [nltk_data] /home/aliasgarov/nltk_data... [nltk_data] Package wordnet is already up-to-date! WARNING: The directory '/home/aliasgarov/.cache/pip' or its parent directory is not owned or is not writable by the current user. The cache has been disabled. Check the permissions and owner of that directory. If executing pip with sudo, you may want sudo's -H flag. Collecting en-core-web-sm==3.7.1 Downloading https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.7.1/en_core_web_sm-3.7.1-py3-none-any.whl (12.8 MB) Requirement already satisfied: spacy<3.8.0,>=3.7.2 in /usr/local/lib/python3.9/dist-packages (from en-core-web-sm==3.7.1) (3.7.2) Requirement already satisfied: srsly<3.0.0,>=2.4.3 in /usr/local/lib/python3.9/dist-packages (from spacy<3.8.0,>=3.7.2->en-core-web-sm==3.7.1) (2.4.8) Requirement already satisfied: smart-open<7.0.0,>=5.2.1 in /usr/local/lib/python3.9/dist-packages (from spacy<3.8.0,>=3.7.2->en-core-web-sm==3.7.1) (6.4.0) Requirement already satisfied: requests<3.0.0,>=2.13.0 in /usr/local/lib/python3.9/dist-packages (from spacy<3.8.0,>=3.7.2->en-core-web-sm==3.7.1) (2.32.3) Requirement already satisfied: setuptools in /usr/lib/python3/dist-packages (from spacy<3.8.0,>=3.7.2->en-core-web-sm==3.7.1) (52.0.0) Requirement already satisfied: pydantic!=1.8,!=1.8.1,<3.0.0,>=1.7.4 in 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package via spacy.load('en_core_web_sm') /usr/local/lib/python3.9/dist-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. warnings.warn( Token indices sequence length is longer than the specified maximum sequence length for this model (2138 > 512). Running this sequence through the model will result in indexing errors /usr/local/lib/python3.9/dist-packages/optimum/bettertransformer/models/encoder_models.py:301: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at ../aten/src/ATen/NestedTensorImpl.cpp:178.) hidden_states = torch._nested_tensor_from_mask(hidden_states, ~attention_mask) [youtube] Extracting URL: https://www.youtube.com/watch?v=1aA1WGON49E IMPORTANT: You are using gradio version 4.26.0, however version 4.29.0 is available, please upgrade. -------- Running on local URL: http://0.0.0.0:80 Running on public URL: https://9882bb485d656697af.gradio.live This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces) Original BC scores: AI: 0.0009290315210819244, HUMAN: 0.9990710020065308 Calibration BC scores: AI: 0.08333333333333333, HUMAN: 0.9166666666666666 Input Text: Reece Rogers Google is set to start mixing ads into its new AI-generated search answers. Its a test of how the companys biggest revenue stream can adapt to the age of generative AI. Paresh Dave WIRED is where tomorrow is realized. It is the essential source of information and ideas that make sense of a world in constant transformation. The WIRED conversation illuminates how technology is changing every aspect of our livesfrom culture to business, science to design. The breakthroughs and innovations that we uncover lead to new ways of thinking, new connections, and new industries. More From WIRED Reviews and Guides 2024 Condé Nast. All rights reserved. WIRED may earn a portion of sales from products that are purchased through our site as part of our Affiliate Partnerships with retailers. The material on this site may not be reproduced, distributed, transmitted, cached or otherwise used, except with the prior written permission of Condé Nast. Select international site United States Large Chevron Original BC scores: AI: 0.0009290315210819244, HUMAN: 0.9990710020065308 Calibration BC scores: AI: 0.08333333333333333, HUMAN: 0.9166666666666666 MC Score: {'OPENAI GPT': 0.009792306770881021, 'MISTRAL': 3.4086881465592965e-10, 'CLAUDE': 4.831611022382278e-08, 'GEMINI': 0.027845658361911788, 'GRAMMAR ENHANCER': 0.04569531977176668} Original BC scores: AI: 0.0010414546122774482, HUMAN: 0.9989585876464844 Calibration BC scores: AI: 0.08333333333333333, HUMAN: 0.9166666666666666 Input Text: Reece Rogers Google is set to start mixing ads into its new AI-generated search answers. Its a test of how the companys biggest revenue stream can adapt to the age of generative AI. Paresh Dave WIRED is where tomorrow is realized. It is the essential source of information and ideas that make sense of a world in constant transformation. The WIRED conversation illuminates how technology is changing every aspect of our livesfrom culture to business, science to design. The breakthroughs and innovations that we uncover lead to new ways of thinking, new connections, and new industries. More From WIRED Reviews and Guides 2024 Condé Nast. All rights reserved. WIRED may earn a portion of sales from products that are purchased through our site as part of our Affiliate Partnerships with retailers. The material on this site may not be reproduced, distributed, transmitted, cached or otherwise used, except with the prior written permission of Condé Nast. Select international site United States Large Chevron Original BC scores: AI: 0.0010414546122774482, HUMAN: 0.9989585876464844 Calibration BC scores: AI: 0.08333333333333333, HUMAN: 0.9166666666666666 MC Score: {'OPENAI GPT': 0.011016534020503366, 'MISTRAL': 3.769994686801209e-10, 'CLAUDE': 5.417933834905855e-08, 'GEMINI': 0.031325822075208044, 'GRAMMAR ENHANCER': 0.04099092384179435} Original BC scores: AI: 0.0013807499781250954, HUMAN: 0.9986192584037781 Calibration BC scores: AI: 0.09973753280839895, HUMAN: 0.9002624671916011 Input Text: Also, even if Google developers did not intend for this feature to be a replacement of the original work, AI Overviews provide direct answers to questions in a manner that buries attribution and reduces the incentive for users to click through to the source material. We see that links included in AI Overviews get more clicks than if the page had appeared as a traditional web listing for that query, " said the Google spokesperson. No data to support this claim was offered to WIRED, so it's impossible to independently verify the impact of the AI feature on click-through rates. Also, its worth noting that the company compared AI Overview referral traffic to more traditional blue-link traffic from Google, not to articles chosen for a featured snippet, where the rates are likely much higher. After I reached out to Google about the AI Overview result that pulled from my work, the experimental AI search result for this query stopped showing up, but Google still attempted to generate an answer above the featured snippet. Reece Rogers via Google While many AI lawsuits remain unresolved, one legal expert I spoke with whfeel certain that if the company decides to expand the prevalence AI Overviews, then thnited States Large Chevron Original BC scores: AI: 0.0013807499781250954, HUMAN: 0.9986192584037781 Calibration BC scores: AI: 0.09973753280839895, HUMAN: 0.9002624671916011 MC Score: {'OPENAI GPT': 0.0014353521324674597, 'MISTRAL': 8.853771236138064e-10, 'CLAUDE': 1.2876423798196547e-07, 'GEMINI': 0.02511704077557941, 'GRAMMAR ENHANCER': 0.07318501115783929} Original BC scores: AI: 0.9780901670455933, HUMAN: 0.021909818053245544 Calibration BC scores: AI: 0.5142857142857142, HUMAN: 0.48571428571428577 Input Text: Googles AI Overview Search Results Copied My Original Work WIRED Open Navigation Menu Menu Story Saved To revisit this article, visit My Profile, then. Close Alert Googles AI Overview Search Results Copied My Original Work More Chevron Jun 5, 2024 6: 30 AM Googles AI Overview Search Results Copied My Original Work Googles AI feature bumped my article down on the results page, but the new AI Overview at the top still referenced it. What gives? Photo-illustration: Jacqui Van Liew; Getty Images Save this str is not directly attributed to me. Instead, my original article was one of six footnotes hyperlinked near the bottom of the result. With source links located so far down, its hard to imagine any publisher receiving significant traffic in this situation. AI Overviews will conceptually match information that appears in top web results, including those linked in the overview, wrote a Google spon that if the company decides to expand the prevalence AI Overviews, then thnited States Large Chevron Original BC scores: AI: 0.9780901670455933, HUMAN: 0.021909818053245544 Calibration BC scores: AI: 0.5142857142857142, HUMAN: 0.48571428571428577 MC Score: {'OPENAI GPT': 2.5201448071245276e-11, 'MISTRAL': 9.422158589059545e-12, 'CLAUDE': 1.7335425951868287e-11, 'GEMINI': 2.408824389954489e-11, 'GRAMMAR ENHANCER': 0.5142857142857142} [youtube] 1aA1WGON49E: Downloading webpage [youtube] 1aA1WGON49E: Downloading ios player API JSON [youtube] 1aA1WGON49E: Downloading m3u8 information correcting text..: 0%| | 0/22 [00:00Ricky West rw12west@gmail.com 262-665-7816 3 June 2024 Maryna Burushkina Growth Channel 305 East Huntland Drive Austin, TX 78752 Dear Maryna, Advertising has always been an interest of mine because of how it exists in our everyday lives. Knowing how to advertise is such an important skill to have, and you will almost always come across it in some way no matter what role you are in. To be with a great company such as Growth Channel would be a great advantage. Being passionate about sales and having gained extensive experience in the field, I possess the enthusiasm to personally contribute to the realization of Growth Channel’s vision. I plan to optimize Growth Channel's vision by achieving higher conversion rates with future prospects by fully educating and creating awareness among consumers of the value Growth Channel can bring to their company. At SoftwareONE, I have been a top three seller of twenty-five SDRs for the last two fiscal quarters, and I have never been out of the top ten. This can be attributed to my ability to understand client needs and identify these needs to offer solutions that will improve their yields. Moreover, during my current and past sales/advertising experience, I have worked on several campaigns. I had to use data to ensure that the advertisement team and I achieved a campaign that fits the client’s goals. For example, when I was in real estate, I would work with my advertising team to target a certain audience for the luxury real estate properties that I was posting for my broker. Although I have never officially held an advertising title, much of my experience in the workforce has allowed me to become experienced and more knowledgeable than most in the advertising sector. To continue, If I were to choose a company that Growth Channel should expand its network on, it would be Thrive Market. Thrive Market is an already successful company that could really expand on its popularity especially because of its business model which sells sustainable groceries. Being aware of the environmental friendliness and sustainability of the products it creates, Thrive Market is bound to increase its market share and make a bigger, positive impact. To create the campaign representing Thrive Market, I would use a targeting tool for ad networks, to aim at the audience interested in the protection of the environment. The campaign would include: Audience Segmentation: Using the technologies that Growth Channel possesses by targeting an audience who has interest in eco-friendly institutions, environmentally friendly goods and services, and other related options. I would also aim it towards an audience who is health conscious as Thrive Market mainly sells whole, organic foods. Multi-Channel Approach: Social media and search engine networks provide options to buy ad space where consumers can be targeted effectively. There are many unique ad options in the social media networks for all types of advertisements. Social media ads also allow for very creative approaches. Performance Optimization: Reviewing and evaluating the effectiveness of the campaigns would be a continuous process with the help of analytics tools offered by Growth Channel. These tools will allow Growth Channel to optimize campaigns and make adjustments they see fit to Thrive Market's audience which will increase ROI. Finally, I am confident that my sales experience, combined with my knowledge of digital marketing makes me a great fit for the SDR opportunity at Growth Channel. I will bring an enthusiastic and positive energy to the team, and I am looking forward to possibly contributing to Growth Channel's continued success. Thank you for considering my application. I look forward to learning more about Growth Channel during this ongoing process. Best Regards, Ricky West rw12west@gmail.com 262-665-7816 Original BC scores: AI: 0.34673771262168884, HUMAN: 0.6532623171806335 Calibration BC scores: AI: 0.40939597315436244, HUMAN: 0.5906040268456376 Input Text: Performance Optimization: Reviewing and evaluating the effectiveness of the campaigns would be a continuous process with the help of analytics tools offered by Growth Channel. These tools will allow Growth Channel to optimize campaigns and make adjustments they see fit to Thrive Market's audience which will increase ROI. Finally, I am confident that my sales experience, combined with my knowledge of digital marketing makes me a great fit for the SDR opportunity at Growth Channel. I will bring an enthusiastic and positive energy to the team, and I am looking forward to possibly contributing to Growth Channel's continued success. Thank you for considering my application. I look forward to learning more about Growth Channel during this ongoing process. Best Regards, Ricky West rw12westgmail. com 262-665-7816 Original BC scores: AI: 0.34673771262168884, HUMAN: 0.6532623171806335 Calibration BC scores: AI: 0.40939597315436244, HUMAN: 0.5906040268456376 MC Score: {'OPENAI GPT': 0.3178691988023335, 'MISTRAL': 2.1444096669889683e-09, 'CLAUDE': 1.1681333364700646e-06, 'GEMINI': 0.07488741660678146, 'GRAMMAR ENHANCER': 0.016638195604685966} {'Ricky West\nrw12west@gmail.com\n262-665-7816\n3 June 2024\nMaryna Burushkina\nGrowth Channel\n305 East Huntland Drive\nAustin, TX 78752\nDear Maryna,\nAdvertising has always been an interest of mine because of how it exists in our\neveryday lives.': -0.5306495551721879, 'Knowing how to advertise is such an important skill to have, and you will\nalmost always come across it in some way no matter what role you are in.': -0.19667031727765713, 'To be with a\ngreat company such as Growth Channel would be a great advantage.': -0.041189784573334345, 'Being passionate\nabout sales and having gained extensive experience in the field, I possess the\nenthusiasm to personally contribute to the realization of Growth Channel’s vision.': -0.24918810706161526, "I plan\nto optimize Growth Channel's vision by achieving higher conversion rates with future\nprospects by fully educating and creating awareness among consumers of the value\nGrowth Channel can bring to their company.": -0.06580943427496835, 'At SoftwareONE, I have been a top three seller of twenty-five SDRs for the last two\nfiscal quarters, and I have never been out of the top ten.': -0.13508458234735787, 'This can be attributed to my\nability to understand client needs and identify these needs to offer solutions that will\nimprove their yields.': 0.27866133085282396, 'Moreover, during my current and past sales/advertising experience,\nI have worked on several campaigns.': 0.017630278801475125, 'I had to use data to ensure that the advertisement\nteam and I achieved a campaign that fits the client’s goals.': -0.045258109662774965} correcting text..: 89%|████████▉ | 24/27 [01:07<00:15, 5.30s/it]/home/aliasgarov/copyright_checker/predictors.py:212: UserWarning: Implicit dimension choice for softmax has been deprecated. Change the call to include dim=X as an argument. probas = F.softmax(tensor_logits).detach().cpu().numpy() /home/aliasgarov/copyright_checker/predictors.py:212: UserWarning: Implicit dimension choice for softmax has been deprecated. Change the call to include dim=X as an argument. probas = F.softmax(tensor_logits).detach().cpu().numpy() bc {'For example, when I was in\nreal estate, I would work with my advertising team to target a certain audience for the\nluxury real estate properties that I was posting for my broker.': -0.11700274179295864, 'Although I have never\nofficially held an advertising title, much of my experience in the workforce has allowed\nme to become experienced and more knowledgeable than most in the advertising\nsector.': -0.15774178293541702, 'To continue, If I were to choose a company that Growth Channel should expand its\nnetwork on, it would be Thrive Market.': -0.09720898432998293, 'Thrive Market is an already successful company\nthat could really expand on its popularity especially because of its business model\nwhich sells sustainable groceries.': -0.15585376721747624, 'Being aware of the environmental friendliness and\nsustainability of the products it creates, Thrive Market is bound to increase its market\nshare and make a bigger, positive impact.': -0.18900911119385885, 'To create the campaign representing Thrive Market, I would use a targeting tool for ad\nnetworks, to aim at the audience interested in the protection of the environment.': -0.23145917771310473, 'The\ncampaign would include:\nAudience Segmentation: Using the technologies that Growth Channel possesses by\ntargeting an audience who has interest in eco-friendly institutions, environmentally\nfriendly goods and services, and other related options.': -0.050303103673449596, 'I would also aim it towards an\naudience who is health conscious as Thrive Market mainly sells whole, organic foods.': -0.330775313595558, 'Multi-Channel Approach: Social media and search engine networks provide options to\nbuy ad space where consumers can be targeted effectively.': -0.14748824344664127, 'There are many unique ad\noptions in the social media networks for all types of advertisements.': -0.0924204993475862, 'Social media ads\nalso allow for very creative approaches.': -0.03324840268599188} bc {'Performance\nOptimization:\nReviewing\nand\nevaluating\nthe\neffectiveness\nof\nthe\ncampaigns would be a continuous process with the help of analytics tools offered by\nGrowth Channel.': 0.1788831345248405, "These tools will allow Growth Channel to optimize campaigns and\nmake adjustments they see fit to Thrive Market's audience which will increase ROI.": -0.003715107276243355, 'Finally, I am confident that my sales experience, combined with my knowledge of digital\nmarketing makes me a great fit for the SDR opportunity at Growth Channel.': 0.24272772732024744, "I will bring\nan enthusiastic and positive energy to the team, and I am looking forward to possibly\ncontributing to Growth Channel's continued success.": -0.11980814206086883, 'Thank you for considering my application.': 0.05269689352576316, 'I look forward to learning more about Growth\nChannel during this ongoing process.': 0.03812065293420048, 'Best Regards,\nRicky West\nrw12west@gmail.com\n262-665-7816': 0.012098829368504904} bc Ricky West rw12west@gmail.com 262-665-7816 3 June 2024 Maryna Burushkina Growth Channel 305 East Huntland Drive Austin, TX 78752 Dear Maryna, Advertising has always been an interest of mine because of how it exists in our everyday lives. Knowing how to advertise is such an important skill to have, and you will almost always come across it in some way no matter what role you are in. To be with a great company such as Growth Channel would be a great advantage. Being passionate about sales and having gained extensive experience in the field, I possess the enthusiasm to personally contribute to the realization of Growth Channel’s vision. I plan to optimize Growth Channel's vision by achieving higher conversion rates with future prospects by fully educating and creating awareness among consumers of the value Growth Channel can bring to their company. At SoftwareONE, I have been a top three seller of twenty-five SDRs for the last two fiscal quarters, and I have never been out of the top ten. This can be attributed to my ability to understand client needs and identify these needs to offer solutions that will improve their yields. Moreover, during my current and past sales/advertising experience, I have worked on several campaigns. I had to use data to ensure that the advertisement team and I achieved a campaign that fits the client’s goals. For example, when I was in real estate, I would work with my advertising team to target a certain audience for the luxury real estate properties that I was posting for my broker. Although I have never officially held an advertising title, much of my experience in the workforce has allowed me to become experienced and more knowledgeable than most in the advertising sector. To continue, If I were to choose a company that Growth Channel should expand its network on, it would be Thrive Market. Thrive Market is an already successful company that could really expand on its popularity especially because of its business model which sells sustainable groceries. Being aware of the environmental friendliness and sustainability of the products it creates, Thrive Market is bound to increase its market share and make a bigger, positive impact. To create the campaign representing Thrive Market, I would use a targeting tool for ad networks, to aim at the audience interested in the protection of the environment. The campaign would include: Audience Segmentation: Using the technologies that Growth Channel possesses by targeting an audience who has interest in eco-friendly institutions, environmentally friendly goods and services, and other related options. I would also aim it towards an audience who is health conscious as Thrive Market mainly sells whole, organic foods. Multi-Channel Approach: Social media and search engine networks provide options to buy ad space where consumers can be targeted effectively. There are many unique ad options in the social media networks for all types of advertisements. Social media ads also allow for very creative approaches. Performance Optimization: Reviewing and evaluating the effectiveness of the campaigns would be a continuous process with the help of analytics tools offered by Growth Channel. These tools will allow Growth Channel to optimize campaigns and make adjustments they see fit to Thrive Market's audience which will increase ROI. Finally, I am confident that my sales experience, combined with my knowledge of digital marketing makes me a great fit for the SDR opportunity at Growth Channel. I will bring an enthusiastic and positive energy to the team, and I am looking forward to possibly contributing to Growth Channel's continued success. Thank you for considering my application. I look forward to learning more about Growth Channel during this ongoing process. Best Regards, Ricky West rw12west@gmail.com 262-665-7816 Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER. correcting text..: 100%|██████████| 27/27 [01:57<00:00, 10.63s/it] correcting text..: 100%|██████████| 27/27 [01:57<00:00, 4.33s/it] Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER. Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER. huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) WARNING: Invalid HTTP request received. WARNING: Invalid HTTP request received. WARNING: Invalid HTTP request received. WARNING: Invalid HTTP request received. [youtube] Extracting URL: https://www.youtube.com/watch?v=zhWDdy_5v2w PLAGIARISM PROCESSING TIME: 417.05530071491376 Original BC scores: AI: 0.0012414716184139252, HUMAN: 0.9987585544586182 Calibration BC scores: AI: 0.09973753280839895, HUMAN: 0.9002624671916011 Input Text: Pesticides are chemicals in farming that act on crops to prevent pests, diseases, and weeds. They also boost food security when it comes to crop health and mitigation of yield losses (particularly important today as the world population grows). What are pesticides? The range includes insecticides, herbicides, fungicides and rodenticides that are used to repel predators. pesticides, however, has considerable environmental and health concerns. They can pollute groundwater and surface water, as well as leave residues on produce that pose health hazards for the consumer. In addition, pesticides can cause changes in local ecosystems by harming non-target species, including beneficial insect activity (e. g. , bees, other worms, turtles). The development of increasingly sustainable and ecologically-friendly pest management to address these risks has become strongly emphasized. Such an approach is used - for instance Integrated Pest Management (IPM), which brings together biological, cultural and chemical measures to successfully control pest populations; a more balanced and environmentally sensitive way that is also highly biological. In a final resort, IPM encourages the use of products such as milder pesticides in lieu of conventional pesticides and suggests alternative methods such as crop rotation, the use of resistant crop varieties, and biological control through live predators. Original BC scores: AI: 0.9999798536300659, HUMAN: 2.0126371964579448e-05 Calibration BC scores: AI: 0.8937875751503006, HUMAN: 0.1062124248496994 Input Text: Pesticides are chemicals used in agriculture to protect crops from pests, diseases, and weeds. They play a critical role in maintaining food security by ensuring crop health and reducing yield losses, which is particularly important as the global population continues to grow. Pesticides include a range of substances such as insecticides, herbicides, fungicides, and rodenticides, each targeting specific threats. The use of pesticides, however, comes with significant environmental and health concerns. They can cause pollution of land and water sources, and residues can remain on produce, leading to potential health risks for consumers. Furthermore, pesticides can disrupt local ecosystems by harming non-target species, including beneficial insects like bees and aquatic life. To mitigate these risks, there is a growing emphasis on the development of more sustainable and eco-friendly pest management strategies. Integrated Pest Management (IPM) is one such approach, which combines biological, cultural, and chemical practices to control pest populations in a more balanced and environmentally sensitive manner. IPM encourages the use of less harmful pesticides as a last resort and promotes alternative methods like crop rotation, use of resistant crop varieties, and biological control with natural predators. Original BC scores: AI: 0.00016746317851357162, HUMAN: 0.9998325109481812 Calibration BC scores: AI: 0.02666666666666667, HUMAN: 0.9733333333333334 Input Text: These i Phones and Android devicesranging from 150 to 500stood up to WIREDs testing. Julian Chokkattu WIRED is where tomorrow is realized. It is the essential source of information and ideas that make sense of a world in constant transformation. The WIRED conversation illuminates how technology is changing every aspect of our livesfrom culture to business, science to design. The breakthroughs and innovations that we uncover lead to new ways of thinking, new connections, and new industries. More From WIRED Reviews and Guides 2024 Condé Nast. All rights reserved. WIRED may earn a portion of sales from products that are purchased through our site as part of our Affiliate Partnerships with retailers. The material on this site may not be reproduced, distributed, transmitted, cached or otherwise used, except with the prior written permission of Condé Nast. Select international site United States Large Chevron Original BC scores: AI: 0.00016746317851357162, HUMAN: 0.9998325109481812 Calibration BC scores: AI: 0.02666666666666667, HUMAN: 0.9733333333333334 MC Score: {'OPENAI GPT': 6.505216750459403e-10, 'MISTRAL': 3.687883776137817e-11, 'CLAUDE': 3.9261164393640914e-10, 'GEMINI': 0.012119921048482236, 'GRAMMAR ENHANCER': 0.014546744028727186} [youtube] zhWDdy_5v2w: Downloading webpage [youtube] zhWDdy_5v2w: Downloading ios player API JSON [youtube] zhWDdy_5v2w: Downloading m3u8 information /home/aliasgarov/copyright_checker/predictors.py:212: UserWarning: Implicit dimension choice for softmax has been deprecated. Change the call to include dim=X as an argument. probas = F.softmax(tensor_logits).detach().cpu().numpy() /home/aliasgarov/copyright_checker/predictors.py:212: UserWarning: Implicit dimension choice for softmax has been deprecated. Change the call to include dim=X as an argument. probas = F.softmax(tensor_logits).detach().cpu().numpy() Original BC scores: AI: 0.0008556331158615649, HUMAN: 0.9991443157196045 Calibration BC scores: AI: 0.08333333333333333, HUMAN: 0.9166666666666666 Input Text: In a single minute, your body produces 120 to 180 million red blood cells. People ask Google 2. 4 million questions and 25 million Coca Cola products are consumed. Many of those bottles will end up in a landfill where the World bank estimates we produce 5 million pounds of garbage. 108 human lives will be lost in this minute, and an adult male will lose 96 million cells. Fortunately, 96 million cells divide, replacing those lost. Speaking of divisions, in the USA, 1. 5 people get divorced, while worldwide 116 people will get married, 83, 300 people have sex, but only 258 babies will be born. And a fetus is developing neurons at a rate of 250, 000 /minute so it's no wonder that a computer simulator simulation takes 60 quadrillion bytes to simulate a minute. An average of 1. 38 rain fall around the world, which is 4. 7 billion bathtubs of water every minute. And with the storms comes approximately 6000 bolts of cloud to ground lightning hitting the earth. A 150 pound person expends 1. 1 calories of energy per minute while sleeping. While the sun provides us with 83. 33 terawatts of energy. The earth will complete 1800 its 940 million around the sun, moving 1034 times faster than a cheetah. 70, 000 hours of Netflix are watched, 300 hours are uploaded to YouTube and you can watch this video and subscribe. Original BC scores: AI: 0.0008556331158615649, HUMAN: 0.9991443157196045 Calibration BC scores: AI: 0.08333333333333333, HUMAN: 0.9166666666666666 MC Score: {'OPENAI GPT': 0.041650297741095244, 'MISTRAL': 2.1457372915515795e-10, 'CLAUDE': 2.8301516389698626e-08, 'GEMINI': 5.853652282894475e-07, 'GRAMMAR ENHANCER': 0.041682422161102316} Original BC scores: AI: 0.009835022501647472, HUMAN: 0.9901649355888367 Calibration BC scores: AI: 0.1391304347826087, HUMAN: 0.8608695652173913 Input Text: Polygraf. ai is an innovative AI and data governance specialist which serves as on-prem technology. The AI tool ensures digital content validity before going out of hands or by getting unauthorized use of some AI. Their core position is a data integrity security, granularity, privacy, regulation compliance solution framework built with AI in numerous business disciplines like finance, and healthcare (Polygraf) (Polygraf). These include tools for direct data privacy protection, secure data encryption and connection with large language models. A persistent encoding mechanism allows Polygrafs system or implementation to preserve sensitive information while involving AI tools and is present in most systems as part of the standard. Polygraf. ai has earned some awards for its work in AI governance, including the 2024 Product Awards, the Top AI Data Product of the year. Here it underscores their work to design solutions to provide sustainable security and ethics in the use of artificial intelligence technologies (CDO Magazine). Polygraf states that creating a trustable digital ecosystem through which humans and machines could converse safely and openly. This commitment is core to their strategy of strengthening the trustworthiness and legitimacy of digital content in a world being increasingly underpinned by a wealth of AI-generated information (Polygraf). Original BC scores: AI: 0.009835022501647472, HUMAN: 0.9901649355888367 Calibration BC scores: AI: 0.1391304347826087, HUMAN: 0.8608695652173913 MC Score: {'OPENAI GPT': 2.1256051774759287e-08, 'MISTRAL': 3.3001497187164516e-11, 'CLAUDE': 4.778722731534007e-10, 'GEMINI': 3.0557236354782255e-10, 'GRAMMAR ENHANCER': 0.1391304181969684} Original BC scores: AI: 0.6030362844467163, HUMAN: 0.3969636559486389 Calibration BC scores: AI: 0.40939597315436244, HUMAN: 0.5906040268456376 Input Text: By creating family-friendly incentives, we will expand MPD's recruitment pool, attract and retain more female officers, and help MPD achieve its 30x30 goal. Working to proactively address potential mental health challenges of law enforcement officers. Lisa understands that law enforcement must be dedicated to educating officers and recruits about the warning signs of PTSD and other mental health challenges. We must provide our officers with the services they need to cope with their job duties. Building Healthy and Resilient Communities Lisa is deeply committed to the well-being of the communities that make up Ward 4. Her primary goal is to ensure that these communities are safe, healthy, and resilient. She understands that a thriving community is built upon the foundation of meeting the basic needs of its residents and providing essential services to those who need them the most. To address the challenges faced in our neighborhoods, whether it's improving infrastructure, enhancing public safety, or implementing programs to support vulnerable populations, Lisa's policies are aimed at creating sustainable solutions and achieving results. Original BC scores: AI: 0.6030362844467163, HUMAN: 0.3969636559486389 Calibration BC scores: AI: 0.40939597315436244, HUMAN: 0.5906040268456376 MC Score: {'OPENAI GPT': 0.3396357437908249, 'MISTRAL': 7.955119113780565e-10, 'CLAUDE': 0.06975564180604563, 'GEMINI': 3.4475724838166995e-06, 'GRAMMAR ENHANCER': 1.1183774511163995e-06} {'Rising crime in Ward 4 and DC is deeply impacting our daily lives, dictating how we live, work, shop, and impacting where our children play and go to school.': -0.18127588003761605, "This pressing issue threatens the very future of our communities' well-being.": -0.007169469244307603, 'We must not ignore this call to action.': 0.0660681450626329, 'The solution starts with demanding cooperation and excellence from all branches of government, as well as leadership from the Ward 4 Council seat.': 0.07352745064990085, 'As a Councilmember, Lisa pledges to work transparently with all agencies in the criminal justice ecosystem, advocating for evidence-based solutions in police enforcement, prevention, and intervention, to counter escalating crime while holding perpetrators and agencies accountable.': 0.19173024431908378, 'Lisa’s public safety platform centers on accountability, strong community relationships, and transparency from all criminal justice agencies—values derived from her 27-year career as a juvenile probation officer, federal Special Agent, law enforcement trainer, and senior federal law enforcement manager, and from her experience as a mom and community servant.': -0.29221869471656586, 'Lisa’s extensive expertise and personal background enable her to bring a different and broader perspective to public safety policy-making which allows her to approach policy decisions comprehensively.': -0.3574295998829116, 'Lisa will champion public safety policies that foster mutual respect and cooperation, prioritize citizen and community safety, and address the root causes of crime.': 0.08731823217443149, 'She will balance immediate responses to crime with long-term strategies, prevention with enforcement, and individual accountability with systemic reform.': 0.05104148474243479, 'This is the balanced and informed approach that Lisa is committed to bringing to the DC Council, and she is the one person who has the background and experience to execute this approach.': 0.028078399142545677} bc {'As your Ward 4 Councilmember, Lisa is committed to:\n\n \n\nKeeping People Safe by Stopping Violent Crime\n\n\u200b\n\nEquipping MPD with the necessary tools, training, and sworn and civilian manpower for effective, accountable community policing.': -0.2783325810733478, 'This necessitates not only achieving recruitment targets for patrol officers in neighborhoods and commercial corridors but also ensuring the full staffing of MPD task forces to combat violent crime and pursue active warrants and fugitives.': 0.2618393768269887, 'We must devote MPD resources to the most critical issues while protecting the public’s interests and rights.': 0.08016980449601996, 'Addressing gun violence by working with MPD and our law enforcement partners on evidence-informed practices that focus on targeted “hot spots,” interdiction of illegal gun transactions, improved investigations, and deterrence messaging.': 0.18835260504188317, 'Implement reform of our community-based supervision programs with a focus on proper monitoring, appropriate staffing levels, and successful re-entry programs.': 0.04364151288465704, 'Supporting legislation that is responsive to the complex nature of law enforcement.': 0.02181956009569051, 'By aligning policies with the practical experiences of law enforcement and evidence-based police research, legislation can empower officers to perform their duties efficiently while meeting the highest standards of public safety and ethical conduct.': 0.3288972910302747, 'This is essential in fostering a legal framework that supports law enforcement, contributes to the well-being of communities, and maintains public order.': 0.2007854299232659, 'Addressing Ward 4’s school truancy rates.': 0.0002708801244811477, 'Lisa is deeply troubled, as a mom of a DCPS graduate, that young learners are chronically truant from school.': -0.23117499531056276}/home/aliasgarov/copyright_checker/predictors.py:212: UserWarning: Implicit dimension choice for softmax has been deprecated. Change the call to include dim=X as an argument. probas = F.softmax(tensor_logits).detach().cpu().numpy() /home/aliasgarov/copyright_checker/predictors.py:212: UserWarning: Implicit dimension choice for softmax has been deprecated. Change the call to include dim=X as an argument. probas = F.softmax(tensor_logits).detach().cpu().numpy() /home/aliasgarov/copyright_checker/predictors.py:212: UserWarning: Implicit dimension choice for softmax has been deprecated. Change the call to include dim=X as an argument. probas = F.softmax(tensor_logits).detach().cpu().numpy() bc {'Recent data from the Office of the State Superintendent of Schools indicates that students attending Ward 4 high schools are 63.1%, 72.8%, and 78.6% chronically truant (see citation 1).': -0.09313362312612039, 'Lisa supports urgently convening a task force of educators and administrators, community-based organizations, and parents to work towards the goal of reducing truancy through a comprehensive support system for both students and parents.': 0.15723776691908928, 'She will address this with the urgency it deserves.': 0.014112224852565103, 'Addressing existing data gaps and ensuring the availability of clear, comprehensive information related to recidivism to foster a more transparent and accountable criminal justice system.': 0.05280689167509459, 'Public data from MPD should be structured to enable the public to monitor the progression of a crime from the point of arrest to final adjudication.': -0.17194374291623038, 'Prevention and intervention programs must prominently feature easily accessible data, tracking offenders throughout their involvement in the programs, through charging and sentencing, and show recidivism rates over time.': -0.002173875476153186, 'This transparency informs our understanding of recidivism and creates a path for us to devise more effective strategies in combating crime.': 0.045591277980802904, 'Strong, efficient oversight of all criminal justice and related agencies.': -0.026897554131149887, 'Lisa will leverage her 20 years of experience with federal oversight.': -0.06923038771137753, 'Lisa understands the criticality of the 911 system, DC Crime Lab, and all agencies operating with precision and accountability within the justice ecosystem.': 0.031472263825359656, 'Lisa supports centralizing prevention and intervention services to reduce program redundancies and costs.': 0.10384310802201242, 'This is good governance.': 0.14309147884074946, "This is not just about maintaining order; it's about setting a benchmark for efficiency, effectiveness, and accountability in our criminal justice system.": 0.22671678785751162} bc {'Strengthen Ward 4’s partnership with MPD 2nd and 4th districts to develop a Ward-level crime strategy and tackle cross-jurisdictional enforcement challenges along Military Road and other cross-jurisdictional corridors.': -0.471555932627909, "Lisa will lead robust community discussions to devise public safety solutions tailored to our neighborhood's specific needs.": -0.03004637977027737, 'Lisa will act decisively on recommendations for surveillance cameras, enforcement operations, and the strategic coordination of DC agency resources.': -0.15393149041437537, 'Only through a comprehensive, collaborative approach can we effectively address and significantly reduce crime in our Ward 4 communities.': -0.24018347027576575, 'Reinstate and fully fund MPD’s School Safety Division and retain School Resource Officers (SROs) in school.': -0.09746171941199212, 'In light of the increasing youth crime, incidents in and around schools, and recommendations from school administrators, it is crucial to reinstate and adequately fund this division.': 0.3694414686414003, 'SROs are an essential element of a comprehensive team committed to addressing school and student safety.': 0.06259537826723079, 'Establishing task forces dedicated to evaluating, funding, and ethically implementing new innovative police technologies, including monitoring CCTV cameras located in known crime hotspots in real-time.': -0.12376991877559483, 'By increasing funding for new technologies and formulating and executing a strategic plan for real-time monitoring of crime hotspots, we can significantly enhance our crime prevention and intervention efforts.': 0.3119098614124119, 'Establishing and funding a Memorandum of Understanding with the US Attorney’s Office to assign Special Assistant United States Attorneys to MPD violent crime task forces to enhance case sufficiency and prosecution rates.': 0.08142040379418973, 'Investing in MPD and Attracting Talent\n\n\u200b\n\nCreating and funding accessible and affordable childcare options for MPD officers.': 0.17291063334519038} bc {"By creating family-friendly incentives, we will expand MPD's recruitment pool, attract and retain more female officers, and help MPD achieve its 30x30 goal.": 0.10177447258932086, 'Working to proactively address potential mental health challenges of law enforcement officers.': -0.1254860302178152, 'Lisa understands that law enforcement must be dedicated to educating officers and recruits about the warning signs of PTSD and other mental health challenges.': 0.02289851032783746, 'We must provide our officers with the services they need to cope with their job duties.': 0.022459831687854495, 'Building Healthy and Resilient Communities \n\n\u200b\n\nLisa is deeply committed to the well-being of the communities that make up Ward 4.': -0.11664544447136312, 'Her primary goal is to ensure that these communities are safe, healthy, and resilient.': 0.17910107457028165, 'She understands that a thriving community is built upon the foundation of meeting the basic needs of its residents and providing essential services to those who need them the most.': 0.08480663192215274, "To address the challenges faced in our neighborhoods, whether it's improving infrastructure, enhancing public safety, or implementing programs to support vulnerable populations, Lisa's policies are aimed at creating sustainable solutions and achieving results.": 0.2526656223110816} bc Rising crime in Ward 4 and DC is deeply impacting our daily lives, dictating how we live, work, shop, and impacting where our children play and go to school. This pressing issue threatens the very future of our communities' well-being. We must not ignore this call to action. The solution starts with demanding cooperation and excellence from all branches of government, as well as leadership from the Ward 4 Council seat. As a Councilmember, Lisa pledges to work transparently with all agencies in the criminal justice ecosystem, advocating for evidence-based solutions in police enforcement, prevention, and intervention, to counter escalating crime while holding perpetrators and agencies accountable. Lisa’s public safety platform centers on accountability, strong community relationships, and transparency from all criminal justice agencies—values derived from her 27-year career as a juvenile probation officer, federal Special Agent, law enforcement trainer, and senior federal law enforcement manager, and from her experience as a mom and community servant. Lisa’s extensive expertise and personal background enable her to bring a different and broader perspective to public safety policy-making which allows her to approach policy decisions comprehensively. Lisa will champion public safety policies that foster mutual respect and cooperation, prioritize citizen and community safety, and address the root causes of crime. She will balance immediate responses to crime with long-term strategies, prevention with enforcement, and individual accountability with systemic reform. This is the balanced and informed approach that Lisa is committed to bringing to the DC Council, and she is the one person who has the background and experience to execute this approach. As your Ward 4 Councilmember, Lisa is committed to: Keeping People Safe by Stopping Violent Crime ​ Equipping MPD with the necessary tools, training, and sworn and civilian manpower for effective, accountable community policing. This necessitates not only achieving recruitment targets for patrol officers in neighborhoods and commercial corridors but also ensuring the full staffing of MPD task forces to combat violent crime and pursue active warrants and fugitives. We must devote MPD resources to the most critical issues while protecting the public’s interests and rights. Addressing gun violence by working with MPD and our law enforcement partners on evidence-informed practices that focus on targeted “hot spots,” interdiction of illegal gun transactions, improved investigations, and deterrence messaging. Implement reform of our community-based supervision programs with a focus on proper monitoring, appropriate staffing levels, and successful re-entry programs. Supporting legislation that is responsive to the complex nature of law enforcement. By aligning policies with the practical experiences of law enforcement and evidence-based police research, legislation can empower officers to perform their duties efficiently while meeting the highest standards of public safety and ethical conduct. This is essential in fostering a legal framework that supports law enforcement, contributes to the well-being of communities, and maintains public order. Addressing Ward 4’s school truancy rates. Lisa is deeply troubled, as a mom of a DCPS graduate, that young learners are chronically truant from school. Recent data from the Office of the State Superintendent of Schools indicates that students attending Ward 4 high schools are 63.1%, 72.8%, and 78.6% chronically truant (see citation 1). Lisa supports urgently convening a task force of educators and administrators, community-based organizations, and parents to work towards the goal of reducing truancy through a comprehensive support system for both students and parents. She will address this with the urgency it deserves. Addressing existing data gaps and ensuring the availability of clear, comprehensive information related to recidivism to foster a more transparent and accountable criminal justice system. Public data from MPD should be structured to enable the public to monitor the progression of a crime from the point of arrest to final adjudication. Prevention and intervention programs must prominently feature easily accessible data, tracking offenders throughout their involvement in the programs, through charging and sentencing, and show recidivism rates over time. This transparency informs our understanding of recidivism and creates a path for us to devise more effective strategies in combating crime. Strong, efficient oversight of all criminal justice and related agencies. Lisa will leverage her 20 years of experience with federal oversight. Lisa understands the criticality of the 911 system, DC Crime Lab, and all agencies operating with precision and accountability within the justice ecosystem. Lisa supports centralizing prevention and intervention services to reduce program redundancies and costs. This is good governance. This is not just about maintaining order; it's about setting a benchmark for efficiency, effectiveness, and accountability in our criminal justice system. Strengthen Ward 4’s partnership with MPD 2nd and 4th districts to develop a Ward-level crime strategy and tackle cross-jurisdictional enforcement challenges along Military Road and other cross-jurisdictional corridors. Lisa will lead robust community discussions to devise public safety solutions tailored to our neighborhood's specific needs. Lisa will act decisively on recommendations for surveillance cameras, enforcement operations, and the strategic coordination of DC agency resources. Only through a comprehensive, collaborative approach can we effectively address and significantly reduce crime in our Ward 4 communities. Reinstate and fully fund MPD’s School Safety Division and retain School Resource Officers (SROs) in school. In light of the increasing youth crime, incidents in and around schools, and recommendations from school administrators, it is crucial to reinstate and adequately fund this division. SROs are an essential element of a comprehensive team committed to addressing school and student safety. Establishing task forces dedicated to evaluating, funding, and ethically implementing new innovative police technologies, including monitoring CCTV cameras located in known crime hotspots in real-time. By increasing funding for new technologies and formulating and executing a strategic plan for real-time monitoring of crime hotspots, we can significantly enhance our crime prevention and intervention efforts. Establishing and funding a Memorandum of Understanding with the US Attorney’s Office to assign Special Assistant United States Attorneys to MPD violent crime task forces to enhance case sufficiency and prosecution rates. Investing in MPD and Attracting Talent ​ Creating and funding accessible and affordable childcare options for MPD officers. By creating family-friendly incentives, we will expand MPD's recruitment pool, attract and retain more female officers, and help MPD achieve its 30x30 goal. Working to proactively address potential mental health challenges of law enforcement officers. Lisa understands that law enforcement must be dedicated to educating officers and recruits about the warning signs of PTSD and other mental health challenges. We must provide our officers with the services they need to cope with their job duties. Building Healthy and Resilient Communities ​ Lisa is deeply committed to the well-being of the communities that make up Ward 4. Her primary goal is to ensure that these communities are safe, healthy, and resilient. She understands that a thriving community is built upon the foundation of meeting the basic needs of its residents and providing essential services to those who need them the most. To address the challenges faced in our neighborhoods, whether it's improving infrastructure, enhancing public safety, or implementing programs to support vulnerable populations, Lisa's policies are aimed at creating sustainable solutions and achieving results. correcting text..: 0%| | 0/3 [00:00I am an award-winning leader focused on driving revenue growth, profitability, customer engagement, innovation, and overall business performance for brands from emerging to legacy. Most recently, I was honored to hold the role of President at Denny's, where I led a dynamic team overseeing operations, marketing, HR, training, finance, and communications for a $2.9B systemwide revenue brand. Overseeing over 40,000 team members across nearly 1,600 restaurants and collaborating with 210 franchise owners was an incredible opportunity that yielded demonstrated growth in sales (+3.6% fz, +2.7% co), operating revenue (+1.6%) and EBITDA (+4%) within my President tenure. I've also achieved decorated success rejuvenating growth with roles as Chief Marketing Officer and Chief Brand Officer, leveraging my expertise to forge customer-driven differentiation, cross-system collaboration, and drive sustainable P&L performance (system sales growth of $600M to $2.9B within tenure at Denny's, pre-pandemic EBITDA +26%). My passion lies in revitalizing brands, driving results and developing people, and I'm proud of the results from the teams I have led, such as elevating guest experience metrics, defining and amplifying brand positionings, launching innovative products and services, leading digital transformation, partnering with operators and franchisees for multiple critical growth initiatives, and championing impactful community and social impact initiatives. These successes are reflective of my tenure at Denny's and other esteemed organizations including the NBA's Houston Rockets, Yum! Brands, Pizza Hut, Omnicom, and Fidelity Investments. My commitment to building collaborative relationships extends beyond my teams to encompass partnerships with all levels of the organization, diverse franchisee populations, industry boards, and esteemed entities like the Association of National Advertisers (ANA), where I had the privilege of serving on the Board of Directors and Chair for ANA's Alliance for Inclusive and Multicultural Marketing, among others. I currently also serve on Baylor University's Hankamer Business School Advisory Board and Clemson University's Erwin Center Advisory Board. I am also now giving back as Baylor's Hankamer School of Business inaugural Executive in Residence. Recognized by Forbes, Adweek, Business Insider, PR Week, and Nation's Restaurant News in various "Top 50" or "Power 50" lists, I am grateful for the acknowledgment of my influence, innovation, and impact across multiple industries... and look forward to more. {'I am an award-winning leader focused on driving revenue growth, profitability, customer engagement, innovation, and overall business performance for brands from emerging to legacy.': -0.017635296493534243, "Most recently, I was honored to hold the role of President at Denny's, where I led a dynamic team overseeing operations, marketing, HR, training, finance, and communications for a $2.9B systemwide revenue brand.": 0.008357610027225147, 'Overseeing over 40,000 team members across nearly 1,600 restaurants and collaborating with 210 franchise owners was an incredible opportunity that yielded demonstrated growth in sales (+3.6% fz, +2.7% co), operating revenue (+1.6%) and EBITDA (+4%) within my President tenure.': 0.007678757850381696, "I've also achieved decorated success rejuvenating growth with roles as Chief Marketing Officer and Chief Brand Officer, leveraging my expertise to forge customer-driven differentiation, cross-system collaboration, and drive sustainable P&L performance (system sales growth of $600M to $2.9B within tenure at Denny's, pre-pandemic EBITDA +26%).": 0.006429422435349609, "My passion lies in revitalizing brands, driving results and developing people, and I'm proud of the results from the teams I have led, such as elevating guest experience metrics, defining and amplifying brand positionings, launching innovative products and services, leading digital transformation, partnering with operators and franchisees for multiple critical growth initiatives, and championing impactful community and social impact initiatives.": 0.001204835257167887, "These successes are reflective of my tenure at Denny's and other esteemed organizations including the NBA's Houston Rockets, Yum!": 0.0015591830147656716}/home/aliasgarov/copyright_checker/predictors.py:212: UserWarning: Implicit dimension choice for softmax has been deprecated. Change the call to include dim=X as an argument. probas = F.softmax(tensor_logits).detach().cpu().numpy() /home/aliasgarov/copyright_checker/predictors.py:212: UserWarning: Implicit dimension choice for softmax has been deprecated. Change the call to include dim=X as an argument. probas = F.softmax(tensor_logits).detach().cpu().numpy() /home/aliasgarov/copyright_checker/predictors.py:212: UserWarning: Implicit dimension choice for softmax has been deprecated. Change the call to include dim=X as an argument. probas = F.softmax(tensor_logits).detach().cpu().numpy() quillbot {'Brands, Pizza Hut, Omnicom, and Fidelity Investments.': 0.19482212555471212, "My commitment to building collaborative relationships extends beyond my teams to encompass partnerships with all levels of the organization, diverse franchisee populations, industry boards, and esteemed entities like the Association of National Advertisers (ANA), where I had the privilege of serving on the Board of Directors and Chair for ANA's Alliance for Inclusive and Multicultural Marketing, among others.": 0.5411136447565253, "I currently also serve on Baylor University's Hankamer Business School Advisory Board and Clemson University's Erwin Center Advisory Board.": -0.005819097673341428, "I am also now giving back as Baylor's Hankamer School of Business inaugural Executive in Residence.": 0.02103071556021069, 'Recognized by Forbes, Adweek, Business Insider, PR Week, and Nation\'s Restaurant News in various "Top 50" or "Power 50" lists, I am grateful for the acknowledgment of my influence, innovation, and impact across multiple industries... and look forward to more.': -0.07454798017999817} quillbot I am an award-winning leader focused on driving revenue growth, profitability, customer engagement, innovation, and overall business performance for brands from emerging to legacy. Most recently, I was honored to hold the role of President at Denny's, where I led a dynamic team overseeing operations, marketing, HR, training, finance, and communications for a $2.9B systemwide revenue brand. Overseeing over 40,000 team members across nearly 1,600 restaurants and collaborating with 210 franchise owners was an incredible opportunity that yielded demonstrated growth in sales (+3.6% fz, +2.7% co), operating revenue (+1.6%) and EBITDA (+4%) within my President tenure. I've also achieved decorated success rejuvenating growth with roles as Chief Marketing Officer and Chief Brand Officer, leveraging my expertise to forge customer-driven differentiation, cross-system collaboration, and drive sustainable P&L performance (system sales growth of $600M to $2.9B within tenure at Denny's, pre-pandemic EBITDA +26%). My passion lies in revitalizing brands, driving results and developing people, and I'm proud of the results from the teams I have led, such as elevating guest experience metrics, defining and amplifying brand positionings, launching innovative products and services, leading digital transformation, partnering with operators and franchisees for multiple critical growth initiatives, and championing impactful community and social impact initiatives. These successes are reflective of my tenure at Denny's and other esteemed organizations including the NBA's Houston Rockets, Yum! Brands, Pizza Hut, Omnicom, and Fidelity Investments. My commitment to building collaborative relationships extends beyond my teams to encompass partnerships with all levels of the organization, diverse franchisee populations, industry boards, and esteemed entities like the Association of National Advertisers (ANA), where I had the privilege of serving on the Board of Directors and Chair for ANA's Alliance for Inclusive and Multicultural Marketing, among others. I currently also serve on Baylor University's Hankamer Business School Advisory Board and Clemson University's Erwin Center Advisory Board. I am also now giving back as Baylor's Hankamer School of Business inaugural Executive in Residence. Recognized by Forbes, Adweek, Business Insider, PR Week, and Nation's Restaurant News in various "Top 50" or "Power 50" lists, I am grateful for the acknowledgment of my influence, innovation, and impact across multiple industries... and look forward to more. Original BC scores: AI: 0.017089426517486572, HUMAN: 0.9829105734825134 Calibration BC scores: AI: 0.18061674008810572, HUMAN: 0.8193832599118943 Input Text: Honored to partner with brand leaders across industries including retail, restaurants, hospitality, consumer, entertainment, education and private equity. Our approach, rooted in extensive and successful multi-brand C-suite experience, centers on the core and proven belief that delivering next-level revenue, operations, customer satisfaction, and profit growth, comes from forging authentically differentiated B2C and C2B heart, mind, and soul connections with customers and internal teams. And time and time again, it's those connections discovered, and executed well, that become the unquestioned accelerator for legendary customer loyalty, employee satisfaction AND business performance. Original BC scores: AI: 0.017089426517486572, HUMAN: 0.9829105734825134 Calibration BC scores: AI: 0.18061674008810572, HUMAN: 0.8193832599118943 MC Score: {'OPENAI GPT': 0.002719039154866718, 'MISTRAL': 2.5755984961046193e-10, 'CLAUDE': 0.17789218289211453, 'GEMINI': 3.821014736021052e-06, 'GRAMMAR ENHANCER': 1.7037994034641156e-06} {'Honored to partner with brand leaders across industries including retail, restaurants, hospitality, consumer, entertainment, education and private equity.': -0.40244894026352046, 'Our approach, rooted in extensive and successful multi-brand C-suite experience, centers on the core and proven belief that delivering next-level revenue, operations, customer satisfaction, and profit growth, comes from forging authentically differentiated B2C and C2B heart, mind, and soul connections with customers and internal teams.': -0.5506772278371498, "And time and time again, it's those connections discovered, and executed well, that become the unquestioned accelerator for legendary customer loyalty, employee satisfaction AND business performance.": -0.3758123574141992} bc Honored to partner with brand leaders across industries including retail, restaurants, hospitality, consumer, entertainment, education and private equity. Our approach, rooted in extensive and successful multi-brand C-suite experience, centers on the core and proven belief that delivering next-level revenue, operations, customer satisfaction, and profit growth, comes from forging authentically differentiated B2C and C2B heart, mind, and soul connections with customers and internal teams. And time and time again, it's those connections discovered, and executed well, that become the unquestioned accelerator for legendary customer loyalty, employee satisfaction AND business performance. {'Honored to partner with brand leaders across industries including retail, restaurants, hospitality, consumer, entertainment, education and private equity.': -0.0021002521993592287, 'Our approach, rooted in extensive and successful multi-brand C-suite experience, centers on the core and proven belief that delivering next-level revenue, operations, customer satisfaction, and profit growth, comes from forging authentically differentiated B2C and C2B heart, mind, and soul connections with customers and internal teams.': -0.00029515447158645126, "And time and time again, it's those connections discovered, and executed well, that become the unquestioned accelerator for legendary customer loyalty, employee satisfaction AND business performance.": -0.0016321504481620615} quillbot Honored to partner with brand leaders across industries including retail, restaurants, hospitality, consumer, entertainment, education and private equity. Our approach, rooted in extensive and successful multi-brand C-suite experience, centers on the core and proven belief that delivering next-level revenue, operations, customer satisfaction, and profit growth, comes from forging authentically differentiated B2C and C2B heart, mind, and soul connections with customers and internal teams. And time and time again, it's those connections discovered, and executed well, that become the unquestioned accelerator for legendary customer loyalty, employee satisfaction AND business performance. WARNING: Invalid HTTP request received. WARNING: Invalid HTTP request received. WARNING: Invalid HTTP request received. WARNING: Invalid HTTP request received. correcting text..: 0%| | 0/10 [00:00Building what’s next, together.Seed investing in the Mountain West since 2008.“Listen to your users and observe their behavior to understand them deeply. PMF is not a one-time process; it’s a continuous cycle of learning and adapting.”Geraldo RamosGeraldo RamosGeraldo Ramos“Fall in love with the problem you’re trying to solve, not your solution to that problem. It will be a lot easier to find a solution that fits what the market needs.”Brandon WrightBrandon WrightBrandon Wright"Find a few similarly staged entrepreneurs — connect with them regularly, and talk authentically and honestly about both what you are experiencing in your business, but also your life as you navigate starting and growing a company. "Lee MayerLee MayerLee Mayer“The most important thing is hiring -- finding team members that are self-directed and highly motivated. The people you hire and the ways you support them are the biggest drivers of culture.”Jeff ChangJeff ChangJeff ChangEvents, news, and podcasts.Explore the Kickstart communityWe believe Venture is a team sport. Meet the Kickstart team {'Building what’s next, together.Seed investing in the Mountain West since 2008.“Listen to your users and observe their behavior to understand them deeply.': 0.009405531057432612, 'PMF is not a one-time process; it’s a continuous cycle of learning and adapting.”Geraldo RamosGeraldo RamosGeraldo Ramos“Fall in love with the problem you’re trying to solve, not your solution to that problem.': 0.005723174411530547, 'It will be a lot easier to find a solution that fits what the market needs.”Brandon WrightBrandon WrightBrandon Wright"Find a few similarly staged entrepreneurs — connect with them regularly, and talk authentically and honestly about both what you are experiencing in your business, but also your life as you navigate starting and growing a company.': -0.0012726211487120887, '"Lee MayerLee MayerLee Mayer“The most important thing is hiring -- finding team members that are self-directed and highly motivated.': -0.011458445146748571, 'The people you hire and the ways you support them are the biggest drivers of culture.”Jeff ChangJeff ChangJeff ChangEvents, news, and podcasts.Explore the Kickstart communityWe believe Venture is a team sport.': 6.71592603494558e-05, 'Meet the Kickstart team': -0.00041230637545233137} quillbot Building what’s next, together.Seed investing in the Mountain West since 2008.“Listen to your users and observe their behavior to understand them deeply. PMF is not a one-time process; it’s a continuous cycle of learning and adapting.”Geraldo RamosGeraldo RamosGeraldo Ramos“Fall in love with the problem you’re trying to solve, not your solution to that problem. It will be a lot easier to find a solution that fits what the market needs.”Brandon WrightBrandon WrightBrandon Wright"Find a few similarly staged entrepreneurs — connect with them regularly, and talk authentically and honestly about both what you are experiencing in your business, but also your life as you navigate starting and growing a company. "Lee MayerLee MayerLee Mayer“The most important thing is hiring -- finding team members that are self-directed and highly motivated. The people you hire and the ways you support them are the biggest drivers of culture.”Jeff ChangJeff ChangJeff ChangEvents, news, and podcasts.Explore the Kickstart communityWe believe Venture is a team sport. Meet the Kickstart team ['Building what’s next, together.Seed investing in the Mountain West since 2008.“Listen to your users and observe their behavior to understand them deeply. PMF is not a one-time process; it’s a continuous cycle of learning and adapting.”Geraldo RamosGeraldo RamosGeraldo Ramos“Fall in love with the problem you’re trying to solve, not your solution to that problem. It will be a lot easier to find a solution that fits what the market needs.”Brandon WrightBrandon WrightBrandon Wright"Find a few similarly staged entrepreneurs — connect with them regularly, and talk authentically and honestly about both what you are experiencing in your business, but also your life as you navigate starting and growing a company. "Lee MayerLee MayerLee Mayer“The most important thing is hiring -- finding team members that are self-directed and highly motivated. The people you hire and the ways you support them are the biggest drivers of culture.”Jeff ChangJeff ChangJeff ChangEvents, news, and podcasts.Explore the Kickstart communityWe believe Venture is a team sport. Meet the Kickstart team'] huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Traceback (most recent call last): File "/usr/local/lib/python3.9/dist-packages/gradio/queueing.py", line 527, in process_events response = await route_utils.call_process_api( File "/usr/local/lib/python3.9/dist-packages/gradio/route_utils.py", line 261, in call_process_api output = await app.get_blocks().process_api( File "/usr/local/lib/python3.9/dist-packages/gradio/blocks.py", line 1786, in process_api result = await self.call_function( File "/usr/local/lib/python3.9/dist-packages/gradio/blocks.py", line 1338, in call_function prediction = await anyio.to_thread.run_sync( File "/usr/local/lib/python3.9/dist-packages/anyio/to_thread.py", line 56, in run_sync return await get_async_backend().run_sync_in_worker_thread( File "/usr/local/lib/python3.9/dist-packages/anyio/_backends/_asyncio.py", line 2144, in run_sync_in_worker_thread return await future File "/usr/local/lib/python3.9/dist-packages/anyio/_backends/_asyncio.py", line 851, in run result = context.run(func, *args) File "/usr/local/lib/python3.9/dist-packages/gradio/utils.py", line 759, in wrapper response = f(*args, **kwargs) File "/home/aliasgarov/copyright_checker/plagiarism.py", line 332, in html_highlight sentence_scores, url_scores = plagiarism_check( File "/home/aliasgarov/copyright_checker/plagiarism.py", line 290, in plagiarism_check s = [ File "/home/aliasgarov/copyright_checker/plagiarism.py", line 291, in score_array[url][sen] IndexError: list index out of range ['Building what’s next, together.Seed investing in the Mountain West since 2008.“Listen to your users and observe their behavior to understand them deeply.', 'PMF is not a one-time process; it’s a continuous cycle of learning and adapting.”Geraldo RamosGeraldo RamosGeraldo Ramos“Fall in love with the problem you’re trying to solve, not your solution to that problem.', 'It will be a lot easier to find a solution that fits what the market needs.”Brandon WrightBrandon WrightBrandon Wright"Find a few similarly staged entrepreneurs — connect with them regularly, and talk authentically and honestly about both what you are experiencing in your business, but also your life as you navigate starting and growing a company.', '"Lee MayerLee MayerLee Mayer“The most important thing is hiring -- finding team members that are self-directed and highly motivated.', 'The people you hire and the ways you support them are the biggest drivers of culture.”Jeff ChangJeff ChangJeff ChangEvents, news, and podcasts.Explore the Kickstart communityWe believe Venture is a team sport.', 'Meet the Kickstart team'] huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) WARNING: Invalid HTTP request received. WARNING: Invalid HTTP request received. WARNING: Invalid HTTP request received. Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER. PLAGIARISM PROCESSING TIME: 2.9498950748238713 ['New data, found in the Work Trends Index published by Microsoft and LinkedIn, shows that more and more people turn to LLMs to get the job done.', 'But it’s desperation, not innovation, driving the change.', 'According to the new report, 70% of the 31,000 people surveyed struggle with the pace of their work and use AI tools as a means to alleviate the burden, whether the company trained them on how to do it or not.', 'This training gap raises significant concerns, potentially leading to security breaches and data leakages.', 'We are committed to pioneering a future where AI can be safely leveraged to accelerate employee workflows, enabling them to focus on what truly matters, and forget about security threats.', 'Step into the future with our on-prem AI Governance solution.', 'Book a demo:'] huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) PLAGIARISM PROCESSING TIME: 39.231093952897936 correcting text..: 0%| | 0/7 [00:00The world's most successful brands trust the Vatom platform to better connect to their customers, employees, and stakeholders while streamlining processes and improving profitability. Original BC scores: AI: 0.0005660962779074907, HUMAN: 0.9994338750839233 Calibration BC scores: AI: 0.08247422680412371, HUMAN: 0.9175257731958762 Input Text: When employees see the value in their work and understand how and why it is occurring, fears of mass job replacement are mitigated as they embrace the realityit is not humans or machines performing the work; it is both, together. As found in the Deloitte survey, the most common talent strategies for the gen AI era are redesigning processes (48 percent) and upskilling the workforce (47 percent). Unfortunately, measuring worker trust and engagement and launching AI fluency development programs were less common (36 percent and 35 percent, respectively). These are areas where attention and investment could inject confidence into the trust cycle, empowering employees with the support and empathy that is appropriate in this period of intense change. AI literacy and skills development can take the shape of continuous learning programs, incentivized self-directed study, internal workshops, or even smaller learning modules used in the course of work, such that productivity and learning grow together. The current and future workforce will need familiarity, if not competence, in the hard skills of data analysis, prompt engineering, information research, and even coding, but soft skills unique to humans are also vital, such as critical thinking, problem-solving, creativity, flexibility, and collaboration. Supporting the workforce in gaining the AI skills and knowledge they need to thrive is not merely to access the technologys current value. It also sets the stage for what is yet to come, what can be conceived of as a Fifth Industrial Revolution. Why the Next Industrial Revolution Will Include Humans Original BC scores: AI: 0.0005660962779074907, HUMAN: 0.9994338750839233 Calibration BC scores: AI: 0.08247422680412371, HUMAN: 0.9175257731958762 MC Score: {'OPENAI GPT': 0.0006410845161713279, 'MISTRAL': 2.4919446117138195e-10, 'CLAUDE': 3.5890396660405047e-06, 'GEMINI': 0.05433577606358481, 'GRAMMAR ENHANCER': 0.027493771818495303} Original BC scores: AI: 0.0006003221496939659, HUMAN: 0.9993996620178223 Calibration BC scores: AI: 0.08333333333333333, HUMAN: 0.9166666666666666 Input Text: When employees see the value in their work and understand how and why it is occurring, fears of mass job replacement are mitigated as they embrace the realityit is not humans or machines performing the work; it is both, together. As found in the Deloitte survey, the most common talent strategies for the gen AI era are redesigning processes (48 percent) and upskilling the workforce (47 percent). Unfortunately, measuring worker trust and engagement and launching AI fluency development programs were less common (36 percent and 35 percent, respectively). These are areas where attention and investment could inject confidence into the trust cycle, empowering employees with the support and empathy that is appropriate in this period of intense change. AI literacy and skills development can take the shape of continuous learning programs, incentivized self-directed study, internal workshops, or even smaller learning modules used in the course of work, such that productivity and learning grow together. The current and future workforce will need familiarity, if not competence, in the hard skills of data analysis, prompt engineering, information research, and even coding, but soft skills unique to humans are also vital, such as critical thinking, problem-solving, creativity, flexibility, and collaboration. Original BC scores: AI: 0.0006003221496939659, HUMAN: 0.9993996620178223 Calibration BC scores: AI: 0.08333333333333333, HUMAN: 0.9166666666666666 MC Score: {'OPENAI GPT': 0.028190943102041892, 'MISTRAL': 2.0826066797023193e-10, 'CLAUDE': 3.1696305692700374e-06, 'GEMINI': 0.027361288666725173, 'GRAMMAR ENHANCER': 0.027777930100758883} ['Linux (/ˈlɪnʊks/ LIN-uuks)[11] is a family of open-source Unix-like operating systems based on the Linux kernel,[12] an operating system kernel first released on September 17, 1991, by Linus Torvalds.', '[13][14][15] Linux is typically packaged as a Linux distribution (distro), which includes the kernel and supporting system software and libraries, many of which are provided by the GNU Project.', 'Many Linux distributions use the word "Linux" in their name, but the Free Software Foundation uses and recommends the name "GNU/Linux" to emphasize the use and importance of GNU software in many distributions, causing some controversy.', '[16][17]\n\nThe cartoon interviewer greets you onscreen.', 'He looks a little young to be asking questions about a job—sort of a cartoon version of Harry Potter, with dark hair and glasses.', 'You can choose other interviewers to speak with instead, representing various genders and races with names like Benjamin, Leslie, and Kristin.'] huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER. Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER. Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER. Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER. PLAGIARISM PROCESSING TIME: 18.039007198996842 ['Collaborating with Red Hat has been an exhilarating journey, propelling us to the forefront of technological innovation.', "By leveraging Red Hat OpenShift and Ansible Automation, we've revolutionized how organizations approach cloud integration and automation, making complex processes seamless and efficient.", 'Our partnerships with top cloud providers amplify our impact, enabling us to deliver robust, scalable solutions that meet the dynamic needs of modern enterprises.', 'Together, we are not just adapting to the future of technology; we are shaping it.', 'As a recognized thought leader, my passion lies in fostering enriched relationships that drive success.', 'My approach goes beyond traditional interactions, focusing on deep collaboration with customers, colleagues, and industry leaders to create a synergy that fuels continuous improvement.', "Whether it's through strategic discussions with executives, innovative solutions with business partners, or insightful exchanges with referral sources, my goal is to iterate and innovate.", 'This collaborative spirit ensures that we remain agile, responsive, and ahead of the curve in delivering unmatched value to our stakeholders.'] huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) PLAGIARISM PROCESSING TIME: 174.72108210693114 correcting text..: 0%| | 0/8 [00:00HAYS COUNTY, Texas — A Dripping Springs man will spend the rest of his life in prison for sexual abuse. Andrew Brown, 38, was found guilty of abusing an 8-year-old back in January after evidence showed Brown abused the child for more than a year. Brown a former real estate agent and cheer coach, was found to possess thousands of pornographic images that depicted sexual abuse of young children. The images were found after Brown made calls from jail asking a family member to destroy a storage device that contained the images. According to the Hays County Criminal District Attorney's Office, Brown was abusing the 8-year-old, who was a child of a family friend, for more than a year. Brown volunteered to take care of the child while his wife and friends were out of town, which is when the abuse occurred. We would like to thank the victim and their family for the bravery and strength that it took to come forward and face the defendant in court,” Assistant Criminal District Attorney Shelby Griffin said. “The sentence in this case shows that child sexual abuse will not be tolerated in Hays County.” {'HAYS COUNTY, Texas — A Dripping Springs man will spend the rest of his life in prison for sexual abuse.': -0.07763370478475037, 'Andrew Brown, 38, was found guilty of abusing an 8-year-old back in January after evidence showed Brown abused the child for more than a year.': -0.007553776146823433, 'Brown a former real estate agent and cheer coach, was found to possess thousands of pornographic images that depicted sexual abuse of young children.': -0.020059421725822063, 'The images were found after Brown made calls from jail asking a family member to destroy a storage device that contained the images.': -0.03333482193054097, "According to the Hays County Criminal District Attorney's Office, Brown was abusing the 8-year-old, who was a child of a family friend, for more than a year.": 0.02414829832507305, 'Brown volunteered to take care of the child while his wife and friends were out of town, which is when the abuse occurred.': 0.017912323100514497, 'We would like to thank the victim and their family for the bravery and strength that it took to come forward and face the defendant in court,” Assistant Criminal District Attorney Shelby Griffin said.': -0.008632364461014575, '“The sentence in this case shows that child sexual abuse will not be tolerated in Hays County.”': 0.00042663662111064397} quillbot HAYS COUNTY, Texas — A Dripping Springs man will spend the rest of his life in prison for sexual abuse. Andrew Brown, 38, was found guilty of abusing an 8-year-old back in January after evidence showed Brown abused the child for more than a year. Brown a former real estate agent and cheer coach, was found to possess thousands of pornographic images that depicted sexual abuse of young children. The images were found after Brown made calls from jail asking a family member to destroy a storage device that contained the images. According to the Hays County Criminal District Attorney's Office, Brown was abusing the 8-year-old, who was a child of a family friend, for more than a year. Brown volunteered to take care of the child while his wife and friends were out of town, which is when the abuse occurred. We would like to thank the victim and their family for the bravery and strength that it took to come forward and face the defendant in court,” Assistant Criminal District Attorney Shelby Griffin said. “The sentence in this case shows that child sexual abuse will not be tolerated in Hays County.” Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER. Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER. Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER. Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER. Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER. ['HAYS COUNTY, Texas — A Dripping Springs man will spend the rest of his life in prison for sexual abuse.', 'Andrew Brown, 38, was found guilty of abusing an 8-year-old back in January after evidence showed Brown abused the child for more than a year.', 'Brown a former real estate agent and cheer coach, was found to possess thousands of pornographic images that depicted sexual abuse of young children.', 'The images were found after Brown made calls from jail asking a family member to destroy a storage device that contained the images.', "According to the Hays County Criminal District Attorney's Office, Brown was abusing the 8-year-old, who was a child of a family friend, for more than a year.", 'Brown volunteered to take care of the child while his wife and friends were out of town, which is when the abuse occurred.', 'We would like to thank the victim and their family for the bravery and strength that it took to come forward and face the defendant in court,” Assistant Criminal District Attorney Shelby Griffin said.', '“The sentence in this case shows that child sexual abuse will not be tolerated in Hays County.”'] huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) PLAGIARISM PROCESSING TIME: 307.264815408038 correcting text..: 0%| | 0/8 [00:00The energy industry may provide a valuable asset during periods of low recollection for income investors. Transport and storage and treatment of petroleum and/or natural gas often offer attractively yielding income opportunities, as midstream assets typically are extremely stable, yield high on their capital and dividend rates. In particular, Master Limited Partnerships (MLPs) yield steady incomes and are attractive to people that want a return regularly. MLPs have contracts against long term horizons that provide a cushion against volatile commodity prices. Discuss how MLPD writes call based investments in the Global X MLP & Energy Infrastructure ETF (MLPX) to potentially increase net income typical of midstream MLP companies and energy infrastructure. Call options are typically financial options which buy the right to buy shares at a future delivery price and generate additional payment by charging option premiums and giving their sellers the monetary profit they want through the options. The method can improve the overall return of the investment in ways that make it possible to offer returns for increased income levels to investment investors. Based on the stability of midstream MLPs along with the income generation value from the calling options, MLPD aims offer attractive yields to investors seeking higher incomes in the energy industry. huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) WARNING: Invalid HTTP request received. WARNING: Invalid HTTP request received. WARNING: Invalid HTTP request received. WARNING: Invalid HTTP request received. 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PLAGIARISM PROCESSING TIME: 275.9759334749542 ['“Advanced frontend development for AI Governance tools” report by Nazrin Nasirova Jeyhun,\nCS-020 group student of "Information Technology and Management" faculty of ASOIU\nFEEDBACK ON INTERNSHIP REPORT\n“Advanced Frontend Development for AI Governance Tools” report is focused on the\ndevelopment of key frontend systems to enhance AI governance tools at Polygraf AI.', 'This report\nincludes Abstract, Introduction, 5 Chapters, Conclusion, and Reference parts.', 'In the Introduction section, there is a comprehensive overview of AI governance methods and\ntheir importance in modern technology applications.', 'Nazrin Nasirova outlined the project\ncontext, detailing the specific needs for a unified authentication system, effective data collection\nmechanisms, and a robust service promotion system.', 'Chapter I provides a presentation of Polygraf AI and an analysis of the sector’s emblematic\nprofessions.', 'This includes an overview of the company’s history, mission, and key products such\nas the AI Governance solutions, ECommerce Browser Extension, and AI Content Detection\nsystem.', 'The analysis section explores various roles within the tech sector, offering insights into\nthe responsibilities and significance of professions such as Backend Engineer, Frontend\nEngineer, AI & ML Engineer, IT Project Manager, DevOps Engineer, and UI/UX Designer.', 'Chapter II details the research methods and development processes employed during the\ninternship.', 'The report elaborates on the general architecture of the Polygraf AI platform,\nemphasizing the use of modern frontend technologies and frameworks such as Next.js, React,\nTypeScript, and SCSS.', 'Specific methods for implementing authentication, referral systems, and\ncompetition sections are thoroughly explained.', 'Chapter III presents the results of the internship, showcasing the successful development and\nintegration of the unified authentication system, referral system, and competition section.', 'The\nreport highlights the strengths and weaknesses of these implementations, offering detailed\nillustrations and explanations of the functionalities achieved.', 'Chapter IV is a discussion section where Nazrin Nasirova critically evaluates the main results,\nidentifying areas for improvement and proposing future work.', 'The report discusses the\nchallenges faced, such as UI inconsistencies and manual verification processes, and outlines\npotential enhancements to further optimize the systems developed.', 'Chapter V concludes the report by summarizing the key points of the study and emphasizing the\nbroader implications of the work done.', 'The report underscores the significance of AI governance\ntools in promoting ethical content creation and safeguarding user data.', 'The report finalizes with a personal assessment of the internship experience, where Nazrin\nreflects on the transition from academic learning to professional work, highlighting the skills\ngained and the cultural insights acquired during the internship.', 'It is necessary to note that the student was very attentive and responsible during both her\ninternship and the report writing process.', 'To conclude, I evaluate Nazrin Nasirova’s internship report and overall attitude as Excellent.', 'IT Project Manager at Polygraf AI\nAnar Bayramov'] huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Traceback (most recent call last): File "/usr/local/lib/python3.9/dist-packages/gradio/queueing.py", line 527, in process_events response = await route_utils.call_process_api( File "/usr/local/lib/python3.9/dist-packages/gradio/route_utils.py", line 261, in call_process_api output = await app.get_blocks().process_api( File "/usr/local/lib/python3.9/dist-packages/gradio/blocks.py", line 1786, in process_api result = await self.call_function( File "/usr/local/lib/python3.9/dist-packages/gradio/blocks.py", line 1338, in call_function prediction = await anyio.to_thread.run_sync( File "/usr/local/lib/python3.9/dist-packages/anyio/to_thread.py", line 56, in run_sync return await get_async_backend().run_sync_in_worker_thread( File "/usr/local/lib/python3.9/dist-packages/anyio/_backends/_asyncio.py", line 2144, in run_sync_in_worker_thread return await future File "/usr/local/lib/python3.9/dist-packages/anyio/_backends/_asyncio.py", line 851, in run result = context.run(func, *args) File "/usr/local/lib/python3.9/dist-packages/gradio/utils.py", line 759, in wrapper response = f(*args, **kwargs) File "/home/aliasgarov/copyright_checker/app.py", line 56, in main formatted_tokens = html_highlight( File "/home/aliasgarov/copyright_checker/plagiarism.py", line 350, in html_highlight color = color_map[prev_idx - 1] IndexError: list index out of range Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER. Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER. Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER. Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER. Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER. Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER. Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER. Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER. Some characters could not be decoded, and were replaced with REPLACEMENT CHARACTER. ['“Advanced frontend development for AI Governance tools” report by Nazrin Nasirova Jeyhun,\nCS-020 group student of "Information Technology and Management" faculty of ASOIU\nFEEDBACK ON INTERNSHIP REPORT\n“Advanced Frontend Development for AI Governance Tools” report is focused on the\ndevelopment of key frontend systems to enhance AI governance tools at Polygraf AI.', 'This report\nincludes Abstract, Introduction, 5 Chapters, Conclusion, and Reference parts.', 'In the Introduction section, there is a comprehensive overview of AI governance methods and\ntheir importance in modern technology applications.', 'Nazrin Nasirova outlined the project\ncontext, detailing the specific needs for a unified authentication system, effective data collection\nmechanisms, and a robust service promotion system.', 'Chapter I provides a presentation of Polygraf AI and an analysis of the sector’s emblematic\nprofessions.', 'This includes an overview of the company’s history, mission, and key products such\nas the AI Governance solutions, ECommerce Browser Extension, and AI Content Detection\nsystem.', 'The analysis section explores various roles within the tech sector, offering insights into\nthe responsibilities and significance of professions such as Backend Engineer, Frontend\nEngineer, AI & ML Engineer, IT Project Manager, DevOps Engineer, and UI/UX Designer.', 'Chapter II details the research methods and development processes employed during the\ninternship.', 'The report elaborates on the general architecture of the Polygraf AI platform,\nemphasizing the use of modern frontend technologies and frameworks such as Next.js, React,\nTypeScript, and SCSS.', 'Specific methods for implementing authentication, referral systems, and\ncompetition sections are thoroughly explained.', 'Chapter III presents the results of the internship, showcasing the successful development and\nintegration of the unified authentication system, referral system, and competition section.', 'The\nreport highlights the strengths and weaknesses of these implementations, offering detailed\nillustrations and explanations of the functionalities achieved.', 'Chapter IV is a discussion section where Nazrin Nasirova critically evaluates the main results,\nidentifying areas for improvement and proposing future work.', 'The report discusses the\nchallenges faced, such as UI inconsistencies and manual verification processes, and outlines\npotential enhancements to further optimize the systems developed.', 'Chapter V concludes the report by summarizing the key points of the study and emphasizing the\nbroader implications of the work done.', 'The report underscores the significance of AI governance\ntools in promoting ethical content creation and safeguarding user data.', 'The report finalizes with a personal assessment of the internship experience, where Nazrin\nreflects on the transition from academic learning to professional work, highlighting the skills\ngained and the cultural insights acquired during the internship.', 'It is necessary to note that the student was very attentive and responsible during both her\ninternship and the report writing process.', 'To conclude, I evaluate Nazrin Nasirova’s internship report and overall attitude as Excellent.', 'IT Project Manager at Polygraf AI\nAnar Bayramov'] huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Traceback (most recent call last): File "/usr/local/lib/python3.9/dist-packages/gradio/queueing.py", line 527, in process_events response = await route_utils.call_process_api( File "/usr/local/lib/python3.9/dist-packages/gradio/route_utils.py", line 261, in call_process_api output = await app.get_blocks().process_api( File "/usr/local/lib/python3.9/dist-packages/gradio/blocks.py", line 1786, in process_api result = await self.call_function( File "/usr/local/lib/python3.9/dist-packages/gradio/blocks.py", line 1338, in call_function prediction = await anyio.to_thread.run_sync( File "/usr/local/lib/python3.9/dist-packages/anyio/to_thread.py", line 56, in run_sync return await get_async_backend().run_sync_in_worker_thread( File "/usr/local/lib/python3.9/dist-packages/anyio/_backends/_asyncio.py", line 2144, in run_sync_in_worker_thread return await future File "/usr/local/lib/python3.9/dist-packages/anyio/_backends/_asyncio.py", line 851, in run result = context.run(func, *args) File "/usr/local/lib/python3.9/dist-packages/gradio/utils.py", line 759, in wrapper response = f(*args, **kwargs) File "/home/aliasgarov/copyright_checker/app.py", line 56, in main formatted_tokens = html_highlight( File "/home/aliasgarov/copyright_checker/plagiarism.py", line 350, in html_highlight color = color_map[prev_idx - 1] IndexError: list index out of range ['“Advanced frontend development for AI Governance tools” report by Nazrin Nasirova Jeyhun,\nCS-020 group student of "Information Technology and Management" faculty of ASOIU\nFEEDBACK ON INTERNSHIP REPORT\n“Advanced Frontend Development for AI Governance Tools” report is focused on the\ndevelopment of key frontend systems to enhance AI governance tools at Polygraf AI.'] huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Traceback (most recent call last): File "/usr/local/lib/python3.9/dist-packages/gradio/queueing.py", line 527, in process_events response = await route_utils.call_process_api( File "/usr/local/lib/python3.9/dist-packages/gradio/route_utils.py", line 261, in call_process_api output = await app.get_blocks().process_api( File "/usr/local/lib/python3.9/dist-packages/gradio/blocks.py", line 1786, in process_api result = await self.call_function( File "/usr/local/lib/python3.9/dist-packages/gradio/blocks.py", line 1338, in call_function prediction = await anyio.to_thread.run_sync( File "/usr/local/lib/python3.9/dist-packages/anyio/to_thread.py", line 56, in run_sync return await get_async_backend().run_sync_in_worker_thread( File "/usr/local/lib/python3.9/dist-packages/anyio/_backends/_asyncio.py", line 2144, in run_sync_in_worker_thread return await future File "/usr/local/lib/python3.9/dist-packages/anyio/_backends/_asyncio.py", line 851, in run result = context.run(func, *args) File "/usr/local/lib/python3.9/dist-packages/gradio/utils.py", line 759, in wrapper response = f(*args, **kwargs) File "/home/aliasgarov/copyright_checker/app.py", line 56, in main formatted_tokens = html_highlight( File "/home/aliasgarov/copyright_checker/plagiarism.py", line 332, in html_highlight sentence_scores, url_scores = plagiarism_check( File "/home/aliasgarov/copyright_checker/plagiarism.py", line 290, in plagiarism_check s = [ File "/home/aliasgarov/copyright_checker/plagiarism.py", line 291, in score_array[url][sen] IndexError: list index out of range WARNING: Invalid HTTP request received. WARNING: Invalid HTTP request received. WARNING: Invalid HTTP request received. ['Pairing up with an existing student to co-author a paper sounds like a great way to get started.'] huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) PLAGIARISM PROCESSING TIME: 2.359849179163575 correcting text..: 0%| | 0/1 [00:00 score_array[url][sen] IndexError: list index out of range ['“Advanced frontend development for AI Governance tools” report by Nazrin Nasirova Jeyhun,\nCS-020 group student of "Information Technology and Management" faculty of ASOIU\nFEEDBACK ON INTERNSHIP REPORT'] huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Traceback (most recent call last): File "/usr/local/lib/python3.9/dist-packages/gradio/queueing.py", line 527, in process_events response = await route_utils.call_process_api( File "/usr/local/lib/python3.9/dist-packages/gradio/route_utils.py", line 261, in call_process_api output = await app.get_blocks().process_api( File "/usr/local/lib/python3.9/dist-packages/gradio/blocks.py", line 1786, in process_api result = await self.call_function( File "/usr/local/lib/python3.9/dist-packages/gradio/blocks.py", line 1338, in call_function prediction = await anyio.to_thread.run_sync( File "/usr/local/lib/python3.9/dist-packages/anyio/to_thread.py", line 56, in run_sync return await get_async_backend().run_sync_in_worker_thread( File "/usr/local/lib/python3.9/dist-packages/anyio/_backends/_asyncio.py", line 2144, in run_sync_in_worker_thread return await future File "/usr/local/lib/python3.9/dist-packages/anyio/_backends/_asyncio.py", line 851, in run result = context.run(func, *args) File "/usr/local/lib/python3.9/dist-packages/gradio/utils.py", line 759, in wrapper response = f(*args, **kwargs) File "/home/aliasgarov/copyright_checker/app.py", line 56, in main formatted_tokens = html_highlight( File "/home/aliasgarov/copyright_checker/plagiarism.py", line 332, in html_highlight sentence_scores, url_scores = plagiarism_check( File "/home/aliasgarov/copyright_checker/plagiarism.py", line 290, in plagiarism_check s = [ File "/home/aliasgarov/copyright_checker/plagiarism.py", line 291, in score_array[url][sen] IndexError: list index out of range ['Pairing up with an existing student to co-author a paper sounds like a great way to get started.'] huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) PLAGIARISM PROCESSING TIME: 2.0508128479123116 correcting text..: 0%| | 0/1 [00:00 score_array[url][sen] IndexError: list index out of range ['alsjkndfljsdnfkj asdfkj nsdk ajfnkdjf naskdj fnskdj fnaksj dfnksj dnfkasj dnflk jasdn flkjsdn flkjasdn falkjs nfalskjd nfak jsdnflkja n'] huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Traceback (most recent call last): File "/usr/local/lib/python3.9/dist-packages/gradio/queueing.py", line 527, in process_events response = await route_utils.call_process_api( File "/usr/local/lib/python3.9/dist-packages/gradio/route_utils.py", line 261, in call_process_api output = await app.get_blocks().process_api( File "/usr/local/lib/python3.9/dist-packages/gradio/blocks.py", line 1786, in process_api result = await self.call_function( File "/usr/local/lib/python3.9/dist-packages/gradio/blocks.py", line 1338, in call_function prediction = await anyio.to_thread.run_sync( File "/usr/local/lib/python3.9/dist-packages/anyio/to_thread.py", line 56, in run_sync return await get_async_backend().run_sync_in_worker_thread( File "/usr/local/lib/python3.9/dist-packages/anyio/_backends/_asyncio.py", line 2144, in run_sync_in_worker_thread return await future File "/usr/local/lib/python3.9/dist-packages/anyio/_backends/_asyncio.py", line 851, in run result = context.run(func, *args) File "/usr/local/lib/python3.9/dist-packages/gradio/utils.py", line 759, in wrapper response = f(*args, **kwargs) File "/home/aliasgarov/copyright_checker/app.py", line 56, in main formatted_tokens = html_highlight( File "/home/aliasgarov/copyright_checker/plagiarism.py", line 332, in html_highlight sentence_scores, url_scores = plagiarism_check( File "/home/aliasgarov/copyright_checker/plagiarism.py", line 290, in plagiarism_check s = [ File "/home/aliasgarov/copyright_checker/plagiarism.py", line 291, in score_array[url][sen] IndexError: list index out of range ['alsjkndfljsdnfkj asdfkj nsdk ajfnkdjf naskdj fnskdj fnaksj dfnksj dnfkasj dnflk jasdn flkjsdn flkjasdn falkjs nfalskjd nfak jsdnflkja n'] huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Traceback (most recent call last): File "/usr/local/lib/python3.9/dist-packages/gradio/queueing.py", line 527, in process_events response = await route_utils.call_process_api( File "/usr/local/lib/python3.9/dist-packages/gradio/route_utils.py", line 261, in call_process_api output = await app.get_blocks().process_api( File "/usr/local/lib/python3.9/dist-packages/gradio/blocks.py", line 1786, in process_api result = await self.call_function( File "/usr/local/lib/python3.9/dist-packages/gradio/blocks.py", line 1338, in call_function prediction = await anyio.to_thread.run_sync( File "/usr/local/lib/python3.9/dist-packages/anyio/to_thread.py", line 56, in run_sync return await get_async_backend().run_sync_in_worker_thread( File "/usr/local/lib/python3.9/dist-packages/anyio/_backends/_asyncio.py", line 2144, in run_sync_in_worker_thread return await future File "/usr/local/lib/python3.9/dist-packages/anyio/_backends/_asyncio.py", line 851, in run result = context.run(func, *args) File "/usr/local/lib/python3.9/dist-packages/gradio/utils.py", line 759, in wrapper response = f(*args, **kwargs) File "/home/aliasgarov/copyright_checker/app.py", line 56, in main formatted_tokens = html_highlight( File "/home/aliasgarov/copyright_checker/plagiarism.py", line 332, in html_highlight sentence_scores, url_scores = plagiarism_check( File "/home/aliasgarov/copyright_checker/plagiarism.py", line 290, in plagiarism_check s = [ File "/home/aliasgarov/copyright_checker/plagiarism.py", line 291, in score_array[url][sen] IndexError: list index out of range Original BC scores: AI: 0.0110402787104249, HUMAN: 0.988959789276123 Calibration BC scores: AI: 0.1391304347826087, HUMAN: 0.8608695652173913 Input Text: We all get a few cold e-mails a day. For 99, we just ignore and delete. But this behavior has the unfortunate side effect of warping our own perceptions of how effective this channel can be. The fact is: the best and most effective professionals still check their e-mail multiple times a day. Moreover, Ive found an inverse relationship between how senior someone is and how responsive they are to important messages. Original BC scores: AI: 0.0110402787104249, HUMAN: 0.988959789276123 Calibration BC scores: AI: 0.1391304347826087, HUMAN: 0.8608695652173913 MC Score: {'OPENAI GPT': 2.1039750208728944e-08, 'MISTRAL': 4.51263760658588e-11, 'CLAUDE': 3.7178487534971354e-10, 'GEMINI': 1.2539259061035724e-09, 'GRAMMAR ENHANCER': 0.1391304181969684} ['We all get a few cold e-mails a day.', 'For 99%, we just ignore and delete.', 'But this behavior has the unfortunate side effect of warping our own perceptions of how effective this channel can be.', 'The fact is: the best and most effective professionals still check their e-mail multiple times a day.', 'Moreover, I’ve found an inverse relationship between how senior someone is and how responsive they are to important messages.'] huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) PLAGIARISM PROCESSING TIME: 8.141276312991977 correcting text..: 0%| | 0/5 [00:00