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zmbfeng commited on
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1 Parent(s): ec8b3ca

office windows model load

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Files changed (1) hide show
  1. app.py +15 -10
app.py CHANGED
@@ -27,16 +27,21 @@ print("loading models")
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  # tokenizer = GPT2Tokenizer.from_pretrained('microsoft/DialoGPT-medium')
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  # original_model = GPT2LMHeadModel.from_pretrained('microsoft/DialoGPT-medium')
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  # untethered_model = GPT2LMHeadModel.from_pretrained('zmbfeng/untethered_20240225_epochs_500')
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- # tokenizer = GPT2Tokenizer.from_pretrained('microsoft/DialoGPT-medium',cache_dir="G:\My Drive\Avatar\language_models_windows")
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- # original_model = GPT2LMHeadModel.from_pretrained('microsoft/DialoGPT-medium',cache_dir="G:\My Drive\Avatar\language_models_windows")
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- # untethered_model = GPT2LMHeadModel.from_pretrained('zmbfeng/untethered_20240225_epochs_500',cache_dir="G:\My Drive\Avatar\language_models_windows")
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- tokenizer = GPT2Tokenizer.from_pretrained('microsoft/DialoGPT-medium',cache_dir="C:\\Users\\zmbfeng\\Google Drive\\language_models_windows")
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- original_model = GPT2LMHeadModel.from_pretrained('microsoft/DialoGPT-medium',cache_dir="C:\\Users\\zmbfeng\\Google Drive\\Avatar\\language_models_windows")
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- untethered_model = GPT2LMHeadModel.from_pretrained('zmbfeng/untethered_20240225_epochs_500',cache_dir="C:\\Users\\zmbfeng\\Google Drive\\Avatar\\language_models_windows")
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- question_generation_tokenizer = AutoTokenizer.from_pretrained("mrm8488/t5-base-finetuned-question-generation-ap",cache_dir="C:\\Users\\zmbfeng\\Google Drive\\Avatar\\language_models_windows")
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- question_generation_model = AutoModelWithLMHead.from_pretrained("mrm8488/t5-base-finetuned-question-generation-ap",cache_dir="C:\\Users\\zmbfeng\\Google Drive\\Avatar\\language_models_windows")
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- paraphrase_tokenizer = AutoTokenizer.from_pretrained("Vamsi/T5_Paraphrase_Paws",cache_dir="C:\\Users\\zmbfeng\\Google Drive\\Avatar\\language_models_windows")
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- paraphrase_model = AutoModelForSeq2SeqLM.from_pretrained("Vamsi/T5_Paraphrase_Paws",cache_dir="C:\\Users\\zmbfeng\\Google Drive\\Avatar\\language_models_windows")
 
 
 
 
 
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  default_temperature=0.01
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  default_seed=43
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  def create_response(input_str,
 
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  # tokenizer = GPT2Tokenizer.from_pretrained('microsoft/DialoGPT-medium')
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  # original_model = GPT2LMHeadModel.from_pretrained('microsoft/DialoGPT-medium')
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  # untethered_model = GPT2LMHeadModel.from_pretrained('zmbfeng/untethered_20240225_epochs_500')
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+ tokenizer = GPT2Tokenizer.from_pretrained('microsoft/DialoGPT-medium',cache_dir="G:\My Drive\Avatar\language_models_windows")
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+ original_model = GPT2LMHeadModel.from_pretrained('microsoft/DialoGPT-medium',cache_dir="G:\My Drive\Avatar\language_models_windows")
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+ untethered_model = GPT2LMHeadModel.from_pretrained('zmbfeng/untethered_20240225_epochs_500',cache_dir="G:\My Drive\Avatar\language_models_windows")
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+ question_generation_tokenizer = AutoTokenizer.from_pretrained("mrm8488/t5-base-finetuned-question-generation-ap",cache_dir="G:\\My Drive\\Avatar\\language_models_windows")
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+ question_generation_model = AutoModelWithLMHead.from_pretrained("mrm8488/t5-base-finetuned-question-generation-ap",cache_dir="G:\\My Drive\\Avatar\\language_models_windows")
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+ paraphrase_tokenizer = AutoTokenizer.from_pretrained("Vamsi/T5_Paraphrase_Paws",cache_dir="G:\\My Drive\\Avatar\\language_models_windows")
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+ paraphrase_model = AutoModelForSeq2SeqLM.from_pretrained("Vamsi/T5_Paraphrase_Paws",cache_dir="G:\\My Drive\\Avatar\\language_models_windows")
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+
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+ # tokenizer = GPT2Tokenizer.from_pretrained('microsoft/DialoGPT-medium',cache_dir="C:\\Users\\zmbfeng\\Google Drive\\language_models_windows")
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+ # original_model = GPT2LMHeadModel.from_pretrained('microsoft/DialoGPT-medium',cache_dir="C:\\Users\\zmbfeng\\Google Drive\\Avatar\\language_models_windows")
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+ # untethered_model = GPT2LMHeadModel.from_pretrained('zmbfeng/untethered_20240225_epochs_500',cache_dir="C:\\Users\\zmbfeng\\Google Drive\\Avatar\\language_models_windows")
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+ # question_generation_tokenizer = AutoTokenizer.from_pretrained("mrm8488/t5-base-finetuned-question-generation-ap",cache_dir="C:\\Users\\zmbfeng\\Google Drive\\Avatar\\language_models_windows")
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+ # question_generation_model = AutoModelWithLMHead.from_pretrained("mrm8488/t5-base-finetuned-question-generation-ap",cache_dir="C:\\Users\\zmbfeng\\Google Drive\\Avatar\\language_models_windows")
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+ # paraphrase_tokenizer = AutoTokenizer.from_pretrained("Vamsi/T5_Paraphrase_Paws",cache_dir="C:\\Users\\zmbfeng\\Google Drive\\Avatar\\language_models_windows")
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+ # paraphrase_model = AutoModelForSeq2SeqLM.from_pretrained("Vamsi/T5_Paraphrase_Paws",cache_dir="C:\\Users\\zmbfeng\\Google Drive\\Avatar\\language_models_windows")
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  default_temperature=0.01
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  default_seed=43
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  def create_response(input_str,