Spaces:

KwabsHug
/

Language-Learn-Idea

Sleeping

App Files Files Community

kwabs22 commited on Mar 30

Commit

d7fc782

•

1 Parent(s): cf6fafe

Random links and ideas

Browse files

Files changed (1) hide show

app.py +348 -132

app.py CHANGED Viewed

@@ -27,8 +27,7 @@ from langdetect import detect
 import datetime
 import cv2
 import math
-#from langchain_community.document_loaders import YoutubeLoader #Suggested solution for the deprecated import below
-#from langchain.document_loaders import YoutubeLoader #need youtube_transcpt_api and pytube installed
 from youtube_transcript_api import YouTubeTranscriptApi
 from spacy_syllables import SpacySyllables #https://spacy.io/universe/project/spacy_syllables/
 import torch
@@ -164,23 +163,23 @@ langdest = gr.Dropdown(choices=langdropdown_choices, label="Choose Language", va
 ChunkModeDrop = gr.Dropdown(choices=["Chunks", "Reverse", "Three Word Chunks", "Spelling Chunks"], label="Choose Chunk Type", value="Chunks")
-# def FrontRevSentChunk (Chunkmode, Translate, Text, langdest):
-#     FinalOutput = ""
-#     TransFinalOutput = ""
-#     if Chunkmode=="Chunks":
-#         FinalOutput += Sentencechunker(Text)
-#     if Chunkmode=="Reverse":
-#         FinalOutput += ReverseSentenceChunker(Text)
-#     if Chunkmode=="Three Word Chunks":
-#         FinalOutput += three_words_chunk(Text)
-#     if Chunkmode=="Spelling Chunks":
-#         FinalOutput += BatchWordChunk(Text)
-#     if Translate:
-#         TransFinalOutput = FinalOutput
-#         translated = translator.translate(TransFinalOutput, dest=langdest[:2])
-#         FinalOutput += "\n" + translated.text
-#     return FinalOutput
 # Define a function to filter out non-verb, noun, or adjective words
 def filter_words(words):
@@ -537,25 +536,6 @@ def removeTonalMarks(string):
     return noTonalMarksStr
-# def add_text_to_image(input_image, text, output_image_path="output.png", border_size=2):
-#     text = removeTonalMarks(text)
-#     imagearr = np.asarray(input_image) #Image.open(input_image_path)
-#     width, height = imagearr.shape[:2] #width, height = image.size
-#     img = Image.fromarray(imagearr)
-#     draw = ImageDraw.Draw(img)
-#     font = ImageFont.truetype("ShortBaby.ttf", 36) #ShortBaby-Mg2w.ttf
-#     text_width, text_height = draw.textbbox((0, 0), text, font=font)[2:] #draw.textsize(text, font)
-#     # calculate the x, y coordinates of the text box
-#     x = (width - text_width) / 2
-#     y = (height - text_height) / 2
-#     # put the text on the image with a border
-#     for dx, dy in [(0, 0), (border_size, border_size), (-border_size, -border_size), (border_size, -border_size), (-border_size, border_size)]:
-#         draw.text((x + dx, y + dy), text, font=font, fill=(255, 255, 255))
-#     draw.text((x, y), text, font=font, fill=(0, 0, 0))
-#     img.save(output_image_path, "PNG")
-#     return "output.png"
 def calculate_max_chars(image_width, font_size, font_path="ShortBaby.ttf", margin=20):
     # Create a temporary image to calculate character width
     img_temp = Image.new('RGB', (100, 100))
@@ -1606,65 +1586,118 @@ Repsplitdropdown = gr.Dropdown(choices=["sentences", "words"], value="sentences"
 def hidingbuttontesttranslate(text):
     html = """
-    <html>
-    <head>
-    <style>
-    #container {
-        display: flex;
-        flex-direction: column;
-    }
-    button {
-        width: 200px;
-        padding: 12px 20px;
-        margin: 8px 0;
-    }
-    .hidden {
-        display: none;
-      }
-    </style>
-    </head>
-    <body>
-    <div id="container">
-    """
     doc = nlp(text)
     sentences = [sent.text for sent in doc.sents]
     for i, sentence in enumerate(sentences):
         html += f"""
-            <button id="sentence{i}" class="sentence">
-            {sentence}
-            </button>
-        """
     html += """
-    </div>
-    <script>
-      let activeBtn;
-      const buttons = document.querySelectorAll('.sentence');
-      buttons.forEach(button => {
-        button.addEventListener('click', () => {
-          buttons.forEach(b => b.classList.add('hidden'))
-          if (activeBtn) {
-            activeBtn.classList.remove('hidden');
-          }
-          activeBtn = button;
-          activeBtn.classList.remove('hidden');
-        });
-      });
-    </script>
-    </body>
-    </html>
-    """
     return gr.Code(html, language="html"), gr.HTML(html)
@@ -2064,36 +2097,114 @@ VideoTestSubtitleInput = gr.File(label="select a subtitle file", file_types=[".t
 VideoSplitTestInput = gr.File(label="select a mp4 video file", file_types=[".mp4"])
 SplitVideoOutput = gr.FileExplorer(root_dir='./splitvideo')
 with gr.Blocks() as lliface: #theme=gr.themes.Glass(primary_hue='green', secondary_hue='red', neutral_hue='blue', )
   gr.HTML('<div style="display: flex; justify-content: center; align-items: center; height: 100%;"> Reading comprehension speed through picture based compression (collage), Live Image Subtitles and Listening Comprehension Test - <a href="https://chat.openai.com/g/g-bYMSVlb8y-lingua-link"> -- Lingua Link (Simple GPT for assistinng image creation) -- </a> |  </div><div style="display: flex; justify-content: center; align-items: center; height: 100%;"> ---- Under Construction: Very Slowly figuring out what AI intergrated interface means (Chat vs Forms vs Function calling vs Sensor + Trigger vs Agent) | How to end copy paste once and for all? ---- </div> <div style="display: flex; justify-content: center; align-items: center; height: 100%;"> All the apis from the below space need to be treated like RAG as notes for the LLM to read before providing its answer </div>')
   with gr.Accordion("Some Useful Spaces", open=False):
     with gr.Accordion("Translation or STT HF Spaces/Sites (Click Here to Open) - Use to get rough translations", open=False):
         with gr.Row():
-            linktotranslate = gr.Dropdown(choices=["https://facebook-seamless-m4t-v2-large.hf.space", "https://hf-audio-whisper-large-v3.hf.space", "https://pyf98-owsm-v3-demo.hf.space", "https://kadirnar-multilingual-translation.hf.space", "https://geonmo-nllb-translation-demo.hf.space"], label="Choose/Cancel type any .hf.space link here (can also type a link)'", allow_custom_value=True)
             translatespacebtn = gr.Button("Use the chosen URL to load interface with a translate model")
         translatespace = gr.HTML("Translate Space Chosen will load here")
         translatespacebtn.click(display_website, inputs=linktotranslate, outputs=translatespace)
     with gr.Accordion("Audio Gen HF Spaces/Sites (Click Here to Open)", open=False):
         with gr.Row():
-            linktoaudiogen = gr.Dropdown(choices=["https://coqui-xtts.hf.space", "https://suno-bark.hf.space",  "https://mrfakename-metavoice-1b-v0-1.hf.space"], label="Choose/Cancel type any .hf.space link here (can also type a link)'", allow_custom_value=True)
             audiogenspacebtn = gr.Button("Use the chosen URL to load interface with a chat model")
         audiogenspace = gr.HTML("Chat Space Chosen will load here")
         audiogenspacebtn.click(display_website, inputs=linktoaudiogen, outputs=audiogenspace)
     with gr.Accordion("Image Gen or Animation HF Spaces/Sites (Click Here to Open) - Use with the image placeholder in Workflows tab", open=False):
         with gr.Row():
-            linktoimagegen = gr.Dropdown(choices=["https://modelscope-transferanything.hf.space", "https://visionmaze-magic-me.hf.space", "https://wangfuyun-animatelcm.hf.space", "https://artgan-diffusion-api.hf.space", "https://multimodalart-stable-cascade.hf.space", "https://radames-real-time-text-to-image-sdxl-lightning.hf.space", "https://ap123-sdxl-lightning.hf.space", "https://google-sdxl.hf.space", "https://guoyww-animatediff.hf.space", "https://segmind-segmind-stable-diffusion.hf.space", "https://simianluo-latent-consistency-model.hf.space", "https://artificialguybr-studio-ghibli-lora-sdxl.hf.space", "https://artificialguybr-pixel-art-generator.hf.space", "https://fffiloni-sdxl-control-loras.hf.space"], label="Choose/Cancel type any .hf.space link here (can also type a link)'", allow_custom_value=True)
             imagegenspacebtn = gr.Button("Use the chosen URL to load interface with a chat model")
         imagegenspace = gr.HTML("Chat Space Chosen will load here")
         imagegenspacebtn.click(display_website, inputs=linktoimagegen, outputs=imagegenspace)
-    with gr.Accordion("Vision HF Spaces/Sites (Click Here to Open)", open=False):
         with gr.Row():
-            linktovisionund = gr.Dropdown(choices=["https://badayvedat-llava.hf.space", "https://languagebind-moe-llava.hf.space", "https://vision-cair-minigpt4.hf.space", "https://fffiloni-live-vision.hf.space", "https://ysharma-gemini-pro-vision-chat.hf.space", "https://kvikontent-chatgpt-vision.hf.space"], label="Choose/Cancel type any .hf.space link here (can also type a link)'", allow_custom_value=True)
             visionundspacebtn = gr.Button("Use the chosen URL to load interface with a chat model")
         visionundspace = gr.HTML("Chat Space Chosen will load here")
         visionundspacebtn.click(display_website, inputs=linktovisionund, outputs=visionundspace)
     with gr.Accordion("LLM HF Spaces/Sites (Click Here to Open) - Use 'Acronym Map Creation Space' Tab with this - Ask for Translation of image tags made below, sentence to emojis, Wordlists, Test Conversations, Get Grammar Explanations etc., Can use GPT-4 or new SOTA to review the conversation", open=False):
         with gr.Row():
-            linktochat = gr.Dropdown(choices=["https://sdk.vercel.ai/docs", "https://labs.perplexity.ai/", "https://chat.lmsys.org", "https://stabilityai-stablelm-2-1-6b-zephyr.hf.space", "https://qwen-qwen1-5-72b-chat.hf.space", "https://deepseek-ai-deepseek-coder-7b-instruct.hf.space", "https://01-ai-yi-34b-chat.hf.space", "https://ysharma-zephyr-playground.hf.space", "https://huggingfaceh4-zephyr-chat.hf.space", "https://osanseviero-mistral-super-fast.hf.space", "https://artificialguybr-qwen-14b-chat-demo.hf.space", "https://huggingface-projects-llama-2-7b-chat.hf.space", "https://ysharma-explore-llamav2-with-tgi.hf.space", "https://mosaicml-mpt-30b-chat.hf.space", "https://huggingfaceh4-falcon-chat.hf.space", "https://uwnlp-guanaco-playground-tgi.hf.space", "https://stabilityai-stablelm-tuned-alpha-chat.hf.space", "https://mosaicml-mpt-7b-storywriter.hf.space", "https://huggingfaceh4-starchat-playground.hf.space", "https://bigcode-bigcode-playground.hf.space", "https://mosaicml-mpt-7b-chat.hf.space", "https://huggingchat-chat-ui.hf.space", "https://togethercomputer-openchatkit.hf.space"], label="Choose/Cancel type any .hf.space link here (can also type a link)'", allow_custom_value=True)
             chatspacebtn = gr.Button("Use the chosen URL to load interface with a chat model. For sdk.vercel click the chat button on the top left. For lymsys / chat arena copy the link and use a new tab")
         with gr.Accordion("Some prompt ideas", open=False):
             with gr.Accordion("Prompts in text (Manual copy paste)", open=False):
@@ -2110,7 +2221,7 @@ with gr.Blocks() as lliface: #theme=gr.themes.Glass(primary_hue='green', seconda
   #-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------
   with gr.Row():
     with gr.Column(scale=1):
-        gr.HTML(""" <div style="height: 350px; width: 100%; border: 1px solid black; overflow: auto;"> Some useful links <br> <a href='https://github.com/eugeneyan/open-llms'> -- Opensource List -- </a> | <a href='https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard'> -- Open LLM Leaderboard -- </a> | <a href='https://openxlab.org.cn/apps'> -- Openxlabs - Huggingface Alternative -- </a> | <a href='https://huggingface.co/spaces/sanchit-gandhi/whisper-jax'> -- Whisper JAX -- </a> | <a href="https://translate.google.com/?hl=en&tab=TT"> -- Google Translate -- </a> | <a href='https://huggingface.co/spaces/damo-vilab/modelscope-text-to-video-synthesis'> -- Modelscope Text to Video -- </a> | <a href='https://huggingface.co/spaces/stabilityai/stable-diffusion'> -- stable-diffusion 2 -- </a> | <a href='https://huggingface.co/spaces/stabilityai/stable-diffusion-1'> -- stable-diffusion 1 -- </a> | <a href='https://huggingface.co/spaces/kakaobrain/karlo'> -- karlo 1 -- </a> | <a href='https://huggingface.co/spaces/suno/bark'> -- Bark (TTS) -- </a> | <a href='https://chat.lmsys.org/'> -- Offline Text Model Demos -- </a> | <a href='https://huggingface.co/spaces/curt-park/segment-anything-with-clip'> -- SAM with Clip -- </a> | <a href='https://beta.elevenlabs.io/'> -- Eleven Labs -- </a> | <a href='https://www.d-id.com/'> -- Animate an Image -- </a> | <a href='https://voice.ai/'> -- Clone a voice -- </a> | <a href='https://openai.com/pricing'> -- OpenAI pricing -- </a> | <a href='https://huggingface.co/spaces/sohojoe/soho-clip-embeddings-explorer'> -- Image Training Data Search -- </a> | <a href='https://huggingface.co/spaces/huggingchat/chat-ui'> -- Huggingface Chat -- </a> | <a href='https://huggingface.co/spaces/bguisard/stable-diffusion-nano'> -- 128x128 Stable Diffusion (Fast) -- </a> | <a href='https://huggingface.co/spaces/colonelwatch/abstracts-index'> -- Search 95 million research abstracts -- </a> | <a href='https://huggingface.co/datasets/roneneldan/TinyStories'> -- Tiny Stories Dataset -- </a> | <a href='https://huggingface.co/spaces/lykeven/visualglm-6b'> -- Visualglm6b - Discuss images -- </a> | <a href='https://huggingface.co/spaces/xinyu1205/Recognize_Anything-Tag2Text'> -- RAM and Tag2Text -- </a> | <a href='https://huggingface.co/camenduru/potat1'> -- Potat1 Text2vid -- </a> | <a href='https://twitter.com/willdepue/status/1661781355452325889'> -- Alexandria Prohect (Will Deque) - Free Embeddings -- </a> |  <a href='https://artsandculture.google.com/'> -- Google Arts and Culture Portal -- </a> | <a href='https://huggingface.co/spaces/Matthijs/whisper_word_timestamps'> -- Word Level Timestamps  -- </a> | <a href='https://huggingface.co/spaces/zaanind/NLLB-translation'> -- NLLB 600M Demo -- </a> = <a href='https://github.com/facebookresearch/fairseq/tree/nllb'> -- NLLB Github -- </a> | <a href='https://huggingface.co/spaces/hysts/zeroscope-v2'> -- Zeroscope v2 Text to video -- </a> | <a href='https://huggingface.co/spaces/SpacesExamples/ComfyUI'> -- ComfyUI Text to Image -- </a> | <a href='https://huggingface.co/spaces/DeepFloyd/IF'> -- Deepfloyd IF - Text in image -- </a> | <a href='https://huggingface.co/spaces/ysharma/ChatGPT-Plugins-in-Gradio'> -- ChatGPT Custom Plugins Test Space -- </a> | <a href='https://www.reddit.com/r/LocalLLaMA/'> -- r/LocalLlama -- </a> | <a href='https://www.reddit.com/r/singularity/'> -- r/Singularity -- </a> | <a href='https://huggingface.co/spaces/hysts/SD-XL'> -- SD-XL Test Space -- </a> | <a href='https://huggingface.co/spaces/facebook/seamless_m4t'> -- Seamless M4T - Translation one stop shop -- </a> | <a href='https://huggingface.co/spaces/codellama/codellama-playground'> -- Code Llama playground -- </a> | <a href='https://huggingface.co/spaces/Voicemod/Text-to-Sing'> -- Text to sing -- </a> | <a href='https://huggingface.co/spaces/camenduru-com/webui'> -- Stable Diffusion Webui (Camenduru Space) -- </a> | <a href='https://huggingface.co/spaces/ysharma/WizardCoder34b'> -- Wizard Coder 34B -- </a> | <a href='https://huggingface.co/spaces/chansung/co-write-with-llama2'> -- Cowrite with llama2 -- </a> | <a href='https://huggingface.co/spaces/fffiloni/Image-to-Story'> -- Image to Story -- </a> | <a href='https://huggingface.co/spaces/fffiloni/CLIP-Interrogator-2'> -- Clip interrogator 2 -- </a> | <a href='https://github.com/THUDM/AgentBench'> -- Agent Benchmarks -- </a> | <a href='https://www.convex.dev/ai-town'> -- AI Town Live Demo -- </a> = <a href='https://github.com/a16z-infra/ai-town'> -- AI Town Repository (Deployment]) -- </a> | <a href='https://github.com/joonspk-research/generative_agents/tree/main'> -- Generative Agents: Interactive Simulacra of Human Behavior (Research paper Repository) -- </a> | <a href='https://huggingface.co/spaces/HuggingFaceM4/idefics_playground'> -- IDEFICS - open Multimodal model -- </a> | <a href='https://github.com/facebookresearch/belebele'> -- Belebele (Meta Dataset) -- </a> | <a href='https://huggingface.co/spaces/jbilcke-hf/ai-comic-factory'> -- AI Comic Factory -- </a> | <a href='https://github.com/camenduru'> -- CAMENDURU REPOS -- </a> | <a href='https://huggingface.co/datasets/b-mc2/sql-create-context'> -- SQL Dataset - A list of simple questions -- </a> | <a href='https://github.com/KillianLucas/open-interpreter'> -- Open Interpreter (alt to ChatGPT Pro) -- </a> | <a href='https://easywithai.com/fun-ai-tools/'> -- List - Easy with AI -- </a> | <a href='https://huggingface.co/spaces/Xenova/whisper-web'> -- Whisper Web (UI) -- </a> | <a href='https://blog.roblox.com/2023/09/revolutionizing-creation-roblox/'> -- Roblox Assistant -- </a> | <a href='https://huggingface.co/spaces/AP123/IllusionDiffusion'> -- Illusion Diffusion (Hide words or shapes in the image) -- </a> | <a href='https://huggingface.co/spaces/Shopify/background-replacement'> -- Background replacement - Shopify -- </a> |  <a href='https://huggingface.co/spaces/multimodalart/LoraTheExplorer'> -- Lora The Explorer (SDXL) -- </a> | <a href='https://huggingface.co/spaces/XCLiu/InstaFlow'> -- InstaFlow (Under 1 second Inference) -- </a> | <a href='https://github.com/tairov/llama2.mojo'> -- TinyStories on mojo (230+ tk/s) -- </a> | <a href='https://emojis.alexandru.so/p/OHVEmfMwQl'> -- Any Emoji you want - emojijs -- </a> | <a href='https://huggingface.co/spaces/google/sdxl'> -- SDXL on TPUv5 -- </a> | <a href='https://huggingface.co/spaces/SimianLuo/Latent_Consistency_Model'> -- LCM - SD1.5 at 7secs per 4 images (after coldstart)  -- </a> | <a href='https://huggingface.co/spaces/fffiloni/sdxl-control-loras'> -- SDXL Control Lora -- </a> | <a href='https://huggingface.co/spaces/aadnk/faster-whisper-webui'> -- Whisper WebUI -- </a> | <a href='https://huggingface.co/spaces/guoyww/AnimateDiff'> -- AnimateDiff: Create an image make a video -- </a> | <a href='https://huggingface.co/spaces/facebook/seamless-m4t-v2-large'> -- Seamless m4t v2 -- </a> | <a href='https://huggingface.co/spaces/Otter-AI/OtterHD-Demo'> -- OtterHD: Multimodal model -- </a> | <a href='https://ai.meta.com/blog/ego-exo4d-video-learning-perception/'> -- Ego-exo4d Multimodal dataset -- </a> | <a href='https://imagine.meta.com/'> -- Meta Imagine images (Free)  -- </a> | <a href='https://www.mage.space/'> -- Mage Space images (Free)  -- </a> | <a href='https://www.bing.com/images/create?FORM=GENILP'> -- Bing Image Creator (Free)  -- </a> | <a href='https://jalammar.github.io/'> -- Jay Alammar Blog - Illustrated Transformer, Stable Diffusion and More -- </a> | <a href='https://huggingface.co/spaces/myshell-ai/OpenVoice'> -- OpenVoice - Open Source Voice Clone -- </a> | <a href='https://huggingface.co/spaces/fffiloni/live-vision'> -- Live-Vision HF Space - Live commentary on a video feed demo -- </a> | <a href='https://xenova.github.io/transformers.js/'> -- Transformers JS demo - Xenova (HF) -- </a> | <a href='https://huggingface.co/chat/assistants'> -- Huggingface Assistants -- </a> | <a href='https://huggingface.co/spaces/AP123/SDXL-Lightning'> -- 4-step SDXL Inference through LORA -- </a> | <a href='https://huggingface.co/datasets/HuggingFaceTB/cosmopedia'> -- Cosmopedia - 92 GB synthetic dataset made using Mixtral (25 billion tokens)  -- </a> | </div>""")
         with gr.Tabs()  as nav1:
             with gr.Tab("Rep - HTML"):
                 gr.HTML("UNWFWO = Unknown Native Word Foreign Word Order i.e. during active listening practice you only need the words you dont know")
@@ -2151,10 +2262,10 @@ with gr.Blocks() as lliface: #theme=gr.themes.Glass(primary_hue='green', seconda
             gr.HTML("<b>FINAL VERSION = Image placeholder + Merged Images + Side by Side Audio + UNWFWO Reader script + Spotify/Youtube integration in one interface</b>  <br>True mastery is from the relations between each item aka how every word relates to each other - Repitition in the form combinatorics - llm turns these into full sentences / ideas ")
             gr.HTML("Focus = Thinking = Audio = Repitition = This space is just ideas for optimising the audio content. - Audio of side by side version -- listen till you can say the foreign before the audio plays it (Knowledge version is Glossary as vocab you must mastering before reading)")
             with gr.Accordion("Some Current Incomplete Tests", open=False):
-                with gr.Group():
-                    gr.HTML("Stable LM 2 zephyr 1.6 Placeholder - llama-cpp-python issues locally")
-                    gr.Interface(fn=lambda name: f"Placeholder to talk to Stable LM. Prompt = {name}", inputs="text", outputs="text")
-                gr.Interface(fn=whisperlocaltts, inputs="file", outputs="text", description="Incomplete - Whisper base Test - Can record and then copy the text for use")
                 gr.HTML('Memorisation by string comparison idea <br><br>Result of prompt chain starting with:  Lets say I have the strings "red" and "ppalgan" how can I guess the second from the first from just spelling (eg. similar words and distance in the alphabet, ...), how can I use python to do this i.e. output of no matching letters, closest letter to r, then e, then d, a dictionary of letters that look similar eg. d and p, l and I a and d etc.')
                 gr.Interface(fn=letterbased_guess_word, inputs=["text", "text"], outputs="text", description="letter based guess suggestions (one word to one word is the designed use case)")
             gr.HTML("Side by side reading creator (Google Translate) TODO - Roman output of Non roman characters")
@@ -2205,6 +2316,135 @@ with gr.Blocks() as lliface: #theme=gr.themes.Glass(primary_hue='green', seconda
                     nllbtranscpubtnword4word.click(fn=nllbtransctranslationoptionalw4w, inputs=[nllbtranscpulangsrc, nllbtranscpulangdest, nllbtranscpuinput], outputs=[nllbtranscpuOutputword4word, nllbtranscpudetailsword4wordOutput])
                     nllbtranscpubtn.click(fn=nllbtransctranslation, inputs=[nllbtranscpulangsrc, nllbtranscpulangdest, nllbtranscpuinput], outputs=[nllbtranscpuOutput, nllbtranscpudetailsOutput])
             gr.Interface(fn=LoadNLTKUDHRText, inputs=NLTKudhr, outputs=["text", "textarea"], description="UDHR as some test texts")
         with gr.Tab("Youtube Subs Listening Comprehension"):
             gr.HTML("<a href='https://www.lingq.com/en/'>State Management Solution for Word --> Find LingQ Here --> https://www.lingq.com/en/</a>")
             with gr.Tab("New - Learning with Youtube"):
@@ -2265,7 +2505,7 @@ with gr.Blocks() as lliface: #theme=gr.themes.Glass(primary_hue='green', seconda
                 gr.Text("Text to Closed Class + Adjectives + Punctuation or Noun Verb + Punctuation ")
             with gr.Tab("Audio - Only English thoughts as practice"):
                 gr.HTML("For Audio Most productive is real time recall of native (where your full reasoning ability will always be) <br><hr> Find Replace new lines of the foreign text with full stops or | to get per word translation")
-                # gr.Interface(fn=TTSforListeningPractice, inputs=["text", TTSLangOptions2], outputs="audio", description="Paste only english words in foreign order and then keep removing the words from this to practice as effectively")
         with gr.Tab("Speed through Imagery"):
             gr.HTML("<a href='https://chat.openai.com/g/g-bYMSVlb8y-lingua-link'> -- Lingua Link (Simple GPT for assistinng image creation) -- </a> <br>Use with placeholder generator tab below <br> Best for this is 2 nouns as one phrase i.e. nouns as adjectives and then you can a verb (1000 of those will take you far)")
             with gr.Accordion("More Details - conversation example", open=False):
@@ -2304,8 +2544,9 @@ with gr.Blocks() as lliface: #theme=gr.themes.Glass(primary_hue='green', seconda
                 gr.Interface(fn=onlyplurals, inputs=["text"], outputs=["text"], description="Only plurals = optimal concepts to learn first as LT work = repitition")
                 gr.Interface(fn=create_acronym_map, inputs="textbox", outputs="textbox", description="Acronyms")
                 gr.Interface(fn=keep_nouns, inputs="textbox", outputs="textbox", description="Nouns only")
-            with gr.Tab("Placeholder Genration"):
                 gr.HTML("Placeholder for every image of each sentence - Good for ChatGPT + Dall-E  (First 16 Characters is part of the filename if you get error)")
                 with gr.Row():
                     with gr.Column(scale=4):
                         imageplaceholderinput = gr.TextArea(placeholder="Enter Text and Get a line by line (stand in for sentences for now) placeholder for image associated with the text")
@@ -2318,7 +2559,7 @@ with gr.Blocks() as lliface: #theme=gr.themes.Glass(primary_hue='green', seconda
                     with gr.Column(scale=2):
                         imageplaceholdertextoutput = gr.Code("The code for the HTML created will come here")
                 imageplaceholderbtn.click(fn=imagebasedreading, inputs=[imageplaceholderinput], outputs=[imageplaceholderdownload, imageplaceholderoutput, imageplaceholdertextoutput])
-            with gr.Tab("Word level Placeholder Genration"):
                 gr.HTML("Placeholder for every image of each word - Good for ChatGPT + Dall-E (First 16 Characters is part of the filename if you get error)")
                 with gr.Row():
                     with gr.Column(scale=4):
@@ -2357,34 +2598,6 @@ with gr.Blocks() as lliface: #theme=gr.themes.Glass(primary_hue='green', seconda
                     <br><br> # https://docs.aws.amazon.com/polly/latest/dg/ref-phoneme-tables-shell.html
                     <br><br> # https://docs.aws.amazon.com/polly/latest/dg/ph-table-english-za.html
                     <br><br> # https://docs.aws.amazon.com/polly/latest/dg/ph-table-korean.html""")
-        with gr.Tab("Beginner - Listen + Read"):
-            gr.Label("Closed Eye Recital per new word | 1 new word a minute while recycling the words from the previous minutes")
-            with gr.Row():
-                with gr.Column(scale=1):
-                    gr.HTML("Listening - Songs - Chorus <br> Anticipation of the item to remember is how you learn lyrics that is why songs are easy as if you heard it 10 times already your capacity to anticipate the words is great <br><br> This is where TTS helps as you are ignoring all words except the words just before the actual <br> <b>Tiny Stories dataset is like a graded reader</b> <br>")
-                    # gr.Interface(fn=TTSforListeningPractice, inputs=["text", TTSLangOptions, "checkbox"], outputs="audio", description="Paste chorus lyrics from below here and use TTS or make notes to save here (Or paste anything)")
-                    with gr.Accordion("TTS Spaces", open=False):
-                        TTSspaceoptions = gr.Dropdown(choices=["https://suno-bark.hf.space", "https://coqui-xtts.hf.space"], label="existing whisper spaces")
-                        TTSspaceoptionsbtn = gr.Button("Load a Image as prompt Space")
-                        TTSspaceoptionsOut = gr.HTML()
-                        TTSspaceoptionsbtn.click(fn=display_website, inputs=TTSspaceoptions, outputs=TTSspaceoptionsOut)
-                    gr.HTML("<p>Fastest way to learn words = is to have your own sound reference --> probably why babies learn fast as they make random noise</p> <p>If you know the flow of the song you can remember the spelling easier</p><p>Essentially if the sounds are repeated or long notes they are easy to remember</p>")
-                    gr.Interface(fn=AutoChorusInvestigator, inputs="text", outputs="text", description="Paste Full Lyrics to try find only chorus lines")
-                    gr.Interface(fn=AutoChorusPerWordScheduler, inputs="text", outputs="text", description="Create order of repitition for tts practice")
-                with gr.Column(scale=1):
-                    gr.HTML("""Reading - Caption images (SD/Dalle-E) <br> <a href='https://unsplash.com/'> -- Unsplash - free images -- </a> | <a href="https://huggingface.co/spaces/pharma/CLIP-Interrogator"> --Huggingface CLIP-Interrogator Space-- </a> | <a href='https://huggingface.co/spaces/fffiloni/CLIP-Interrogator-2'> -- Clip interrogator 2 -- </a> | <a href='https://huggingface.co/spaces/xinyu1205/Recognize_Anything-Tag2Text'> -- Tag2Text is faster than clip -- </a> | <br> <a href='https://huggingface.co/spaces/bkhmsi/Word-To-Image'> -- Transform word to an image -- </a> | <a href='https://huggingface.co/spaces/microsoft/Promptist'> -- Promptist (Microsoft) -- </a> | <a href='https://huggingface.co/spaces/xinyu1205/Recognize_Anything-Tag2Text'> -- RAM and Tag2Text -- </a> | <a href='https://huggingface.co/spaces/curt-park/segment-anything-with-clip'> -- SAM with Clip -- </a> """)
-                    with gr.Accordion("RAM/Tag2Text Space - Create Tags here and Copy paste", open=False):
-                        RAMSpaceLink = gr.Textbox("https://xinyu1205-recognize-anything.hf.space")
-                        RAMSpacetest = gr.HTML("")
-                        RAMSpacetestbtn = gr.Button('Load Space')
-                        RAMSpacetestbtn.click(display_website, RAMSpaceLink, RAMSpacetest)
-                    with gr.Accordion("SAM Space Test", open=False):
-                        SAMSpaceLink = gr.Textbox("https://curt-park-segment-anything-with-clip.hf.space")
-                        SAMSpacetest = gr.HTML("")
-                        SAMSpacetestbtn = gr.Button('Load Space')
-                        SAMSpacetestbtn.click(display_website, SAMSpaceLink, SAMSpacetest)
-                    gr.HTML("Use Shift Enter To put text on new lines if the text doesnt fit <br> if theres an error you have to remove the foreign letters and place roman ones")
-                    gr.Interface(fn=add_text_to_image , inputs=["image", "text"], outputs="image", description="Create Annotated images (Can create using stable diffusion and use the prompt) - Describe from one side to the other to make guessing easy")
         #with gr.Tab("Transcribe - RASMUS Whisper"):
             #gr.Interface.load("spaces/RASMUS/Whisper-youtube-crosslingual-subtitles", title="Subtitles")
         with gr.Tab("Beginner - Reading Assitant + Unknown Tracker"):
@@ -2460,7 +2673,7 @@ Each type of knowing involves different cognitive processes and levels of unders
             """)
         with gr.Tab("Transition is the end goal (SOV, SVO, VSO)"):
-#            gr.Interface(fn=FrontRevSentChunk, inputs=[ChunkModeDrop, "checkbox", "text", langdest], outputs="text", description="Chunks creator")
             with gr.Row():
                 with gr.Column():
                     gr.Interface(fn=AutoSyllablePractice, inputs="text", outputs="text", description="One Word At A Time | Audio Spelling Practice Using vowels as the seperator")
@@ -2586,4 +2799,7 @@ Each type of knowing involves different cognitive processes and levels of unders
                         gr.Textbox(label='Use this text to hold translations of the SQL rows in the above linked dataset (A kind of What I say vs what I want)')
-lliface.queue().launch(share=True) #docker #(inbrowser="true") #colab

 import datetime
 import cv2
 import math
+from langchain.document_loaders import YoutubeLoader #need youtube_transcpt_api and pytube installed
 from youtube_transcript_api import YouTubeTranscriptApi
 from spacy_syllables import SpacySyllables #https://spacy.io/universe/project/spacy_syllables/
 import torch
 ChunkModeDrop = gr.Dropdown(choices=["Chunks", "Reverse", "Three Word Chunks", "Spelling Chunks"], label="Choose Chunk Type", value="Chunks")
+def FrontRevSentChunk (Chunkmode, Translate, Text, langdest):
+    FinalOutput = ""
+    TransFinalOutput = ""
+    if Chunkmode=="Chunks":
+        FinalOutput += Sentencechunker(Text)
+    if Chunkmode=="Reverse":
+        FinalOutput += ReverseSentenceChunker(Text)
+    if Chunkmode=="Three Word Chunks":
+        FinalOutput += three_words_chunk(Text)
+    if Chunkmode=="Spelling Chunks":
+        FinalOutput += BatchWordChunk(Text)
+    if Translate:
+        TransFinalOutput = FinalOutput
+        translated = translator.translate(TransFinalOutput, dest=langdest[:2])
+        FinalOutput += "\n" + translated.text
+    return FinalOutput
 # Define a function to filter out non-verb, noun, or adjective words
 def filter_words(words):
     return noTonalMarksStr
 def calculate_max_chars(image_width, font_size, font_path="ShortBaby.ttf", margin=20):
     # Create a temporary image to calculate character width
     img_temp = Image.new('RGB', (100, 100))
 def hidingbuttontesttranslate(text):
     html = """
+<html>
+<head>
+<style>
+#container {
+    display: flex;
+    flex-direction: column;
+}
+button {
+    width: 200px;
+    padding: 12px 20px;
+    margin: 8px 0;
+}
+.hidden {
+    display: none;
+}
+.collapsible {
+    cursor: pointer;
+    padding: 10px;
+    width: 100%;
+    border: none;
+    text-align: left;
+    outline: none;
+    font-size: 16px;
+    background-color: #f1f1f1;
+}
+.active, .collapsible:hover {
+    background-color: #ddd;
+}
+.content {
+    padding: 0 18px;
+    display: none;
+    overflow: hidden;
+    background-color: #f1f1f1;
+}
+</style>
+</head>
+<body>
+<div id="container">
+<button type="button" class="collapsible">Overview of current progress</button>
+<div class="content">
+    <ul id="overview"></ul>
+</div>
+<hr>
+<div id="buttons">
+"""
     doc = nlp(text)
     sentences = [sent.text for sent in doc.sents]
     for i, sentence in enumerate(sentences):
         html += f"""
+<button onclick="toggleVisibility({i})" id="sentence{i}" class="sentence">
+    {sentence}
+</button>
+"""
     html += """
+</div>
+</div>
+<script>
+const shownItems = new Set();
+const hiddenItems = new Set();
+function toggleVisibility(index) {
+    const button = document.getElementById(`sentence${index}`);
+    const overviewItem = document.getElementById(`item${index}`);
+    if (shownItems.has(index)) {
+        shownItems.delete(index);
+        hiddenItems.add(index);
+        button.classList.add('hidden');
+        overviewItem.style.textDecoration = 'line-through';
+    } else {
+        shownItems.add(index);
+        hiddenItems.delete(index);
+        button.classList.remove('hidden');
+        overviewItem.style.textDecoration = 'none';
+    }
+}
+function initializeOverview() {
+    const overview = document.getElementById('overview');
+    const sentences = document.querySelectorAll('.sentence');
+    sentences.forEach((sentence, index) => {
+        const listItem = document.createElement('li');
+        listItem.id = `item${index}`;
+        listItem.textContent = sentence.textContent;
+        overview.appendChild(listItem);
+        shownItems.add(index);
+    });
+}
+function toggleCollapsible() {
+    this.classList.toggle("active");
+    const content = this.nextElementSibling;
+    if (content.style.display === "block") {
+        content.style.display = "none";
+    } else {
+        content.style.display = "block";
+    }
+}
+initializeOverview();
+const coll = document.getElementsByClassName("collapsible");
+for (let i = 0; i < coll.length; i++) {
+    coll[i].addEventListener("click", toggleCollapsible);
+}
+</script>
+</body>
+</html>
+"""
     return gr.Code(html, language="html"), gr.HTML(html)
 VideoSplitTestInput = gr.File(label="select a mp4 video file", file_types=[".mp4"])
 SplitVideoOutput = gr.FileExplorer(root_dir='./splitvideo')
+#---------------------------------------------------------------------------------------------------------
+def build_sentence_basic(subject, verb, obj, order):
+    if order == "SVO":
+        return f"{subject} {verb} {obj}."
+    elif order == "SOV":
+        return f"{subject} {obj} {verb}."
+    else:  # VSO
+        return f"{verb} {subject} {obj}."
+def build_sentence(subject, verb, obj, adjective, adverb, prep_phrase, conjunction, structure):
+    structures = {
+        "SVOAAPC": f"{subject} {verb} {obj} {adjective} {adverb} {prep_phrase} {conjunction}.",
+        "SVOAPC": f"{subject} {verb} {obj} {adjective} {prep_phrase} {conjunction}.",
+        "SVOAC": f"{subject} {verb} {obj} {adjective} {conjunction}.",
+        "SVOAPAC": f"{subject} {verb} {obj} {adverb} {prep_phrase} {adjective} {conjunction}.",
+        "SVCAOAP": f"{subject} {verb} {conjunction} {adverb} {obj} {adjective} {prep_phrase}.",
+        "SVACOAP": f"{subject} {verb} {adverb} {conjunction} {obj} {adjective} {prep_phrase}.",
+        "SVACOP": f"{subject} {verb} {adverb} {conjunction} {obj} {prep_phrase}.",
+        "SVCAPO": f"{subject} {verb} {conjunction} {adjective} {prep_phrase} {obj}.",
+        "SVAPO": f"{subject} {verb} {adverb} {prep_phrase} {obj}.",
+        "SVCPO": f"{subject} {verb} {conjunction} {prep_phrase} {obj}.",
+        "SVOAA": f"{subject} {verb} {obj} {adjective} {adverb}.",
+        "SVAPA": f"{subject} {verb} {adverb} {prep_phrase} {adjective}.",
+        "SVPAO": f"{subject} {verb} {prep_phrase} {adjective} {obj}.",
+        "SVOAP": f"{subject} {verb} {obj} {adverb} {prep_phrase}.",
+        "SVPOA": f"{subject} {verb} {prep_phrase} {obj} {adjective}.",
+        "SVOPA": f"{subject} {verb} {obj} {prep_phrase} {adjective}.",
+        "SADVV": f"{subject} {adverb} {verb}.",
+        "SADJV": f"{subject} {adjective} {verb}.",
+        "SPPV": f"{subject} {prep_phrase} {verb}.",
+        "SCONJV": f"{subject} {conjunction} {verb}.",
+        "SADVPPV": f"{subject} {adverb} {prep_phrase} {verb}.",
+        "SADJCONJV": f"{subject} {adjective} {conjunction} {verb}.",
+        "ASVOP": f"{adverb}, {subject} {verb} {obj} {prep_phrase}.",
+        "PSVOAC": f"{prep_phrase}, {subject} {verb} {obj} {adjective} {conjunction}.",
+        "CSVO": f"{conjunction} {subject} {verb} {obj}.",
+        "SVOPC": f"{subject} {verb} {obj} {prep_phrase} {conjunction}.",
+        "SVCOP": f"{subject} {verb} {conjunction} {obj} {prep_phrase}.",
+        "SVOCA": f"{subject} {verb} {obj} {conjunction} {adverb}."
+    }
+    return structures.get(structure, "Invalid structure.").capitalize()
+sentbuildchoices = [
+    "SVOAAPC", "SVOAPC", "SVOAC", "SVOAPAC", "SVCAOAP", "SVACOAP", "SVACOP", "SVCAPO",
+    "SVAPO", "SVCPO", "SVOAA", "SVAPA", "SVPAO", "SVOAP", "SVPOA", "SVOPA",
+    "SADVV", "SADJV", "SPPV", "SCONJV", "SADVPPV", "SADJCONJV",
+    "ASVOP", "PSVOAC", "CSVO", "SVOPC", "SVCOP", "SVOCA"
+]
+sentbuildsubjects = ["The curious cat", "The playful dog", "The majestic eagle", "The wise owl", "The friendly dolphin", "The cat", "The dog", "The bird", "The elephant", "The lion", "The monkey", "The rabbit", "The turtle"]
+sentbuildverbs = ["chases", "discovers", "explores", "investigates", "observes", "chases", "eats", "watches", "plays with", "jumps over", "runs from", "hides from", "sleeps on"]
+sentbuildobjects = ["the colorful butterfly", "the mysterious cave", "the ancient ruins", "the hidden treasure", "the underwater world"]
+sentbuildadjectives = ["beautiful", "enchanting", "fascinating", "intriguing", "marvelous", "the mouse", "the bone", "the worm", "the ball", "the fence", "the hunter", "the predator", "the leaf"]
+sentbuildadverbs = ["cautiously", "eagerly", "enthusiastically", "patiently", "swiftly"]
+sentbuildprep_phrases = ["in the dense forest", "near the babbling brook", "on the sandy beach", "under the starry sky", "within the deep ocean"]
+sentbuildconjunctions = ["and", "but", "yet", "for", "so"]
+def sentbuildgenerate_quiz_question():
+    structure = random.choice(sentbuildchoices)
+    subject = random.choice(sentbuildsubjects)
+    verb = random.choice(sentbuildverbs)
+    obj = random.choice(sentbuildobjects)
+    adjective = random.choice(sentbuildadjectives)
+    adverb = random.choice(sentbuildadverbs)
+    prep_phrase = random.choice(sentbuildprep_phrases)
+    conjunction = random.choice(sentbuildconjunctions)
+    sentence = build_sentence(subject, verb, obj, adjective, adverb, prep_phrase, conjunction, structure)
+    return sentence, "Identify the sentence structure:", gr.Radio(sentbuildchoices, label="Options"), structure
+def sentbuildcheck_answer(selected, correct):
+    if selected == correct:
+        return "Correct!", gr.update(interactive=False)
+    else:
+        return "Incorrect. Please try again.", gr.update(interactive=True)
+#--------------------------------------------------------------------------------------------------------------------------------------------
 with gr.Blocks() as lliface: #theme=gr.themes.Glass(primary_hue='green', secondary_hue='red', neutral_hue='blue', )
   gr.HTML('<div style="display: flex; justify-content: center; align-items: center; height: 100%;"> Reading comprehension speed through picture based compression (collage), Live Image Subtitles and Listening Comprehension Test - <a href="https://chat.openai.com/g/g-bYMSVlb8y-lingua-link"> -- Lingua Link (Simple GPT for assistinng image creation) -- </a> |  </div><div style="display: flex; justify-content: center; align-items: center; height: 100%;"> ---- Under Construction: Very Slowly figuring out what AI intergrated interface means (Chat vs Forms vs Function calling vs Sensor + Trigger vs Agent) | How to end copy paste once and for all? ---- </div> <div style="display: flex; justify-content: center; align-items: center; height: 100%;"> All the apis from the below space need to be treated like RAG as notes for the LLM to read before providing its answer </div>')
   with gr.Accordion("Some Useful Spaces", open=False):
     with gr.Accordion("Translation or STT HF Spaces/Sites (Click Here to Open) - Use to get rough translations", open=False):
         with gr.Row():
+            linktotranslate = gr.Dropdown(choices=["https://hf-audio-whisper-large-v3.hf.space", "https://pyf98-owsm-v3-demo.hf.space", "https://kadirnar-multilingual-translation.hf.space", "https://geonmo-nllb-translation-demo.hf.space"], label="Choose/Cancel type any .hf.space link here (can also type a link)'", allow_custom_value=True)
             translatespacebtn = gr.Button("Use the chosen URL to load interface with a translate model")
         translatespace = gr.HTML("Translate Space Chosen will load here")
         translatespacebtn.click(display_website, inputs=linktotranslate, outputs=translatespace)
     with gr.Accordion("Audio Gen HF Spaces/Sites (Click Here to Open)", open=False):
         with gr.Row():
+            linktoaudiogen = gr.Dropdown(choices=["https://facebook-seamless-m4t-v2-large.hf.space", "https://mms-meta-mms.hf.space", "https://coqui-xtts.hf.space", "https://suno-bark.hf.space",  "https://mrfakename-metavoice-1b-v0-1.hf.space"], label="Choose/Cancel type any .hf.space link here (can also type a link)'", allow_custom_value=True)
             audiogenspacebtn = gr.Button("Use the chosen URL to load interface with a chat model")
         audiogenspace = gr.HTML("Chat Space Chosen will load here")
         audiogenspacebtn.click(display_website, inputs=linktoaudiogen, outputs=audiogenspace)
     with gr.Accordion("Image Gen or Animation HF Spaces/Sites (Click Here to Open) - Use with the image placeholder in Workflows tab", open=False):
         with gr.Row():
+            linktoimagegen = gr.Dropdown(choices=["https://gparmar-img2img-turbo-sketch.hf.space", "https://kadirnar-open-sora.hf.space", "https://bytedance-animatediff-lightning.hf.space", "https://radames-real-time-text-to-image-sdxl-lightning.hf.space", "https://cagliostrolab-animagine-xl-3-1.hf.space", "https://wangfuyun-animatelcm-svd.hf.space" "https://modelscope-transferanything.hf.space", "https://visionmaze-magic-me.hf.space", "https://wangfuyun-animatelcm.hf.space", "https://artgan-diffusion-api.hf.space", "https://multimodalart-stable-cascade.hf.space", "https://ap123-sdxl-lightning.hf.space", "https://google-sdxl.hf.space", "https://guoyww-animatediff.hf.space", "https://segmind-segmind-stable-diffusion.hf.space", "https://simianluo-latent-consistency-model.hf.space", "https://artificialguybr-studio-ghibli-lora-sdxl.hf.space", "https://artificialguybr-pixel-art-generator.hf.space", "https://fffiloni-sdxl-control-loras.hf.space"], label="Choose/Cancel type any .hf.space link here (can also type a link)'", allow_custom_value=True)
             imagegenspacebtn = gr.Button("Use the chosen URL to load interface with a chat model")
         imagegenspace = gr.HTML("Chat Space Chosen will load here")
         imagegenspacebtn.click(display_website, inputs=linktoimagegen, outputs=imagegenspace)
+    with gr.Accordion("Image Understanding/Vision Conversation HF Spaces/Sites (Click Here to Open)", open=False):
         with gr.Row():
+            linktovisionund = gr.Dropdown(choices=["https://linfanluntan-grounded-sam.hf.space", "https://merve-llava-next.hf.space", "https://badayvedat-llava.hf.space",  "https://otter-ai-otterhd-demo.hf.space", "https://adept-fuyu-8b-demo.hf.space", "https://xinyu1205-recognize-anything.hf.space", "https://languagebind-moe-llava.hf.space", "https://vision-cair-minigpt4.hf.space", "https://fffiloni-live-vision.hf.space", "https://ysharma-gemini-pro-vision-chat.hf.space", "https://kvikontent-chatgpt-vision.hf.space"], label="Choose/Cancel type any .hf.space link here (can also type a link)'", allow_custom_value=True)
             visionundspacebtn = gr.Button("Use the chosen URL to load interface with a chat model")
         visionundspace = gr.HTML("Chat Space Chosen will load here")
         visionundspacebtn.click(display_website, inputs=linktovisionund, outputs=visionundspace)
     with gr.Accordion("LLM HF Spaces/Sites (Click Here to Open) - Use 'Acronym Map Creation Space' Tab with this - Ask for Translation of image tags made below, sentence to emojis, Wordlists, Test Conversations, Get Grammar Explanations etc., Can use GPT-4 or new SOTA to review the conversation", open=False):
         with gr.Row():
+            linktochat = gr.Dropdown(choices=["https://sdk.vercel.ai/docs", "https://labs.perplexity.ai/", "https://chat.lmsys.org", "https://cyzgab-catch-me-if-you-can.hf.space", "https://databricks-dbrx-instruct.hf.space", "https://qwen-qwen1-5-moe-a2-7b-chat-demo.hf.space", "https://stabilityai-stablelm-2-1-6b-zephyr.hf.space", "https://qwen-qwen1-5-72b-chat.hf.space", "https://deepseek-ai-deepseek-coder-7b-instruct.hf.space", "https://01-ai-yi-34b-chat.hf.space", "https://ysharma-zephyr-playground.hf.space", "https://huggingfaceh4-zephyr-chat.hf.space", "https://osanseviero-mistral-super-fast.hf.space", "https://artificialguybr-qwen-14b-chat-demo.hf.space", "https://huggingface-projects-llama-2-7b-chat.hf.space", "https://ysharma-explore-llamav2-with-tgi.hf.space", "https://mosaicml-mpt-30b-chat.hf.space", "https://huggingfaceh4-falcon-chat.hf.space", "https://uwnlp-guanaco-playground-tgi.hf.space", "https://stabilityai-stablelm-tuned-alpha-chat.hf.space", "https://mosaicml-mpt-7b-storywriter.hf.space", "https://huggingfaceh4-starchat-playground.hf.space", "https://bigcode-bigcode-playground.hf.space", "https://mosaicml-mpt-7b-chat.hf.space", "https://huggingchat-chat-ui.hf.space", "https://togethercomputer-openchatkit.hf.space"], label="Choose/Cancel type any .hf.space link here (can also type a link)'", allow_custom_value=True)
             chatspacebtn = gr.Button("Use the chosen URL to load interface with a chat model. For sdk.vercel click the chat button on the top left. For lymsys / chat arena copy the link and use a new tab")
         with gr.Accordion("Some prompt ideas", open=False):
             with gr.Accordion("Prompts in text (Manual copy paste)", open=False):
   #-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------
   with gr.Row():
     with gr.Column(scale=1):
+        gr.HTML(""" <div style="height: 350px; width: 100%; border: 1px solid black; overflow: auto;"> Some useful links <br> <a href='https://github.com/eugeneyan/open-llms'> -- Opensource List -- </a> | <a href='https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard'> -- Open LLM Leaderboard -- </a> | <a href='https://openxlab.org.cn/apps'> -- Openxlabs - Huggingface Alternative -- </a> | <a href='https://huggingface.co/spaces/sanchit-gandhi/whisper-jax'> -- Whisper JAX -- </a> | <a href="https://translate.google.com/?hl=en&tab=TT"> -- Google Translate -- </a> | <a href='https://huggingface.co/spaces/damo-vilab/modelscope-text-to-video-synthesis'> -- Modelscope Text to Video -- </a> | <a href='https://huggingface.co/spaces/stabilityai/stable-diffusion'> -- stable-diffusion 2 -- </a> | <a href='https://huggingface.co/spaces/stabilityai/stable-diffusion-1'> -- stable-diffusion 1 -- </a> | <a href='https://huggingface.co/spaces/kakaobrain/karlo'> -- karlo 1 -- </a> | <a href='https://huggingface.co/spaces/suno/bark'> -- Bark (TTS) -- </a> | <a href='https://chat.lmsys.org/'> -- Offline Text Model Demos -- </a> | <a href='https://huggingface.co/spaces/curt-park/segment-anything-with-clip'> -- SAM with Clip -- </a> | <a href='https://beta.elevenlabs.io/'> -- Eleven Labs -- </a> | <a href='https://www.d-id.com/'> -- Animate an Image -- </a> | <a href='https://voice.ai/'> -- Clone a voice -- </a> | <a href='https://openai.com/pricing'> -- OpenAI pricing -- </a> | <a href='https://huggingface.co/spaces/sohojoe/soho-clip-embeddings-explorer'> -- Image Training Data Search -- </a> | <a href='https://huggingface.co/spaces/huggingchat/chat-ui'> -- Huggingface Chat -- </a> | <a href='https://huggingface.co/spaces/bguisard/stable-diffusion-nano'> -- 128x128 Stable Diffusion (Fast) -- </a> | <a href='https://huggingface.co/spaces/colonelwatch/abstracts-index'> -- Search 95 million research abstracts -- </a> | <a href='https://huggingface.co/datasets/roneneldan/TinyStories'> -- Tiny Stories Dataset -- </a> | <a href='https://huggingface.co/spaces/lykeven/visualglm-6b'> -- Visualglm6b - Discuss images -- </a> | <a href='https://huggingface.co/spaces/xinyu1205/Recognize_Anything-Tag2Text'> -- RAM and Tag2Text -- </a> | <a href='https://huggingface.co/camenduru/potat1'> -- Potat1 Text2vid -- </a> | <a href='https://twitter.com/willdepue/status/1661781355452325889'> -- Alexandria Prohect (Will Deque) - Free Embeddings -- </a> |  <a href='https://artsandculture.google.com/'> -- Google Arts and Culture Portal -- </a> | <a href='https://huggingface.co/spaces/Matthijs/whisper_word_timestamps'> -- Word Level Timestamps  -- </a> | <a href='https://huggingface.co/spaces/zaanind/NLLB-translation'> -- NLLB 600M Demo -- </a> = <a href='https://github.com/facebookresearch/fairseq/tree/nllb'> -- NLLB Github -- </a> | <a href='https://huggingface.co/spaces/hysts/zeroscope-v2'> -- Zeroscope v2 Text to video -- </a> | <a href='https://huggingface.co/spaces/SpacesExamples/ComfyUI'> -- ComfyUI Text to Image -- </a> | <a href='https://huggingface.co/spaces/DeepFloyd/IF'> -- Deepfloyd IF - Text in image -- </a> | <a href='https://huggingface.co/spaces/ysharma/ChatGPT-Plugins-in-Gradio'> -- ChatGPT Custom Plugins Test Space -- </a> | <a href='https://www.reddit.com/r/LocalLLaMA/'> -- r/LocalLlama -- </a> | <a href='https://www.reddit.com/r/singularity/'> -- r/Singularity -- </a> | <a href='https://huggingface.co/spaces/hysts/SD-XL'> -- SD-XL Test Space -- </a> | <a href='https://huggingface.co/spaces/facebook/seamless_m4t'> -- Seamless M4T - Translation one stop shop -- </a> | <a href='https://huggingface.co/spaces/codellama/codellama-playground'> -- Code Llama playground -- </a> | <a href='https://huggingface.co/spaces/Voicemod/Text-to-Sing'> -- Text to sing -- </a> | <a href='https://huggingface.co/spaces/camenduru-com/webui'> -- Stable Diffusion Webui (Camenduru Space) -- </a> | <a href='https://huggingface.co/spaces/ysharma/WizardCoder34b'> -- Wizard Coder 34B -- </a> | <a href='https://huggingface.co/spaces/chansung/co-write-with-llama2'> -- Cowrite with llama2 -- </a> | <a href='https://huggingface.co/spaces/fffiloni/Image-to-Story'> -- Image to Story -- </a> | <a href='https://huggingface.co/spaces/fffiloni/CLIP-Interrogator-2'> -- Clip interrogator 2 -- </a> | <a href='https://github.com/THUDM/AgentBench'> -- Agent Benchmarks -- </a> | <a href='https://www.convex.dev/ai-town'> -- AI Town Live Demo -- </a> = <a href='https://github.com/a16z-infra/ai-town'> -- AI Town Repository (Deployment]) -- </a> | <a href='https://github.com/joonspk-research/generative_agents/tree/main'> -- Generative Agents: Interactive Simulacra of Human Behavior (Research paper Repository) -- </a> | <a href='https://huggingface.co/spaces/HuggingFaceM4/idefics_playground'> -- IDEFICS - open Multimodal model -- </a> | <a href='https://github.com/facebookresearch/belebele'> -- Belebele (Meta Dataset) -- </a> | <a href='https://huggingface.co/spaces/jbilcke-hf/ai-comic-factory'> -- AI Comic Factory -- </a> | <a href='https://github.com/camenduru'> -- CAMENDURU REPOS -- </a> | <a href='https://huggingface.co/datasets/b-mc2/sql-create-context'> -- SQL Dataset - A list of simple questions -- </a> | <a href='https://github.com/KillianLucas/open-interpreter'> -- Open Interpreter (alt to ChatGPT Pro) -- </a> | <a href='https://easywithai.com/fun-ai-tools/'> -- List - Easy with AI -- </a> | <a href='https://huggingface.co/spaces/Xenova/whisper-web'> -- Whisper Web (UI) -- </a> | <a href='https://blog.roblox.com/2023/09/revolutionizing-creation-roblox/'> -- Roblox Assistant -- </a> | <a href='https://huggingface.co/spaces/AP123/IllusionDiffusion'> -- Illusion Diffusion (Hide words or shapes in the image) -- </a> | <a href='https://huggingface.co/spaces/Shopify/background-replacement'> -- Background replacement - Shopify -- </a> |  <a href='https://huggingface.co/spaces/multimodalart/LoraTheExplorer'> -- Lora The Explorer (SDXL) -- </a> | <a href='https://huggingface.co/spaces/XCLiu/InstaFlow'> -- InstaFlow (Under 1 second Inference) -- </a> | <a href='https://github.com/tairov/llama2.mojo'> -- TinyStories on mojo (230+ tk/s) -- </a> | <a href='https://emojis.alexandru.so/p/OHVEmfMwQl'> -- Any Emoji you want - emojijs -- </a> | <a href='https://huggingface.co/spaces/google/sdxl'> -- SDXL on TPUv5 -- </a> | <a href='https://huggingface.co/spaces/SimianLuo/Latent_Consistency_Model'> -- LCM - SD1.5 at 7secs per 4 images (after coldstart)  -- </a> | <a href='https://huggingface.co/spaces/fffiloni/sdxl-control-loras'> -- SDXL Control Lora -- </a> | <a href='https://huggingface.co/spaces/aadnk/faster-whisper-webui'> -- Whisper WebUI -- </a> | <a href='https://huggingface.co/spaces/guoyww/AnimateDiff'> -- AnimateDiff: Create an image make a video -- </a> | <a href='https://huggingface.co/spaces/facebook/seamless-m4t-v2-large'> -- Seamless m4t v2 -- </a> | <a href='https://huggingface.co/spaces/Otter-AI/OtterHD-Demo'> -- OtterHD: Multimodal model -- </a> | <a href='https://ai.meta.com/blog/ego-exo4d-video-learning-perception/'> -- Ego-exo4d Multimodal dataset -- </a> | <a href='https://imagine.meta.com/'> -- Meta Imagine images (Free)  -- </a> | <a href='https://www.mage.space/'> -- Mage Space images (Free)  -- </a> | <a href='https://www.bing.com/images/create?FORM=GENILP'> -- Bing Image Creator (Free)  -- </a> | <a href='https://jalammar.github.io/'> -- Jay Alammar Blog - Illustrated Transformer, Stable Diffusion and More -- </a> | <a href='https://huggingface.co/spaces/myshell-ai/OpenVoice'> -- OpenVoice - Open Source Voice Clone -- </a> | <a href='https://huggingface.co/spaces/fffiloni/live-vision'> -- Live-Vision HF Space - Live commentary on a video feed demo -- </a> | <a href='https://xenova.github.io/transformers.js/'> -- Transformers JS demo - Xenova (HF) -- </a> | <a href='https://huggingface.co/chat/assistants'> -- Huggingface Assistants -- </a> | <a href='https://huggingface.co/spaces/AP123/SDXL-Lightning'> -- 4-step SDXL Inference through LORA -- </a> | <a href='https://huggingface.co/datasets/HuggingFaceTB/cosmopedia'> -- Cosmopedia - 92 GB synthetic dataset made using Mixtral (25 billion tokens)  -- </a> | <a href='https://huggingface.co/spaces/dylanebert/LGM-mini'> -- LGM-mini: image to ply -- </a> | <a href='https://playgroundai-playground-v2-5.hf.space'> -- Playground v2.5 -- </a> | <a href='https://github.com/openai/transformer-debugger'> -- OpenAI - Transformer Debugger -- </a> | <a href='https://huggingface.co/datasets/princeton-nlp/SWE-bench'> -- SWE-bench dataset (Real world github issues) -- </a> | <a href='https://huggingface.co/papers/2402.17764'> -- The Era of 1-bit LLMs - All Large Language Models are in 1.58 Bits -- </a> | <a href='https://github.com/microsoft/unilm/tree/master'> -- Microsoft Repo for AI research (Bitnet andd others will be here) -- </a> | <a href='https://huggingface.co/spaces/cyzgab/catch-me-if-you-can'> -- Realtime response using GroqCloud and live gradio interface  -- </a> | <a href='https://console.groq.com/docs/showcase-applications'> -- GroqCloud Application showcase -- </a> | <a href='https://kadirnar-open-sora.hf.space'> -- Open version of Open AI SORA -- </a> | <a href='https://huggingface.co/spaces/mms-meta/MMS'> -- MMS (Meta) - TTS for 1000 languages  -- </a> | <a href='https://huggingface.co/pyp1/VoiceCraft'> -- VoiceCraft (Audio Clone Model) -- </a> | <a href='https://huggingface.co/papers/2403.09629'> -- QuietStar Paper (HF) - Models linked -- </a> | <a href='https://huggingface.co/ai21labs/Jamba-v0.1'> -- JAMBA - mamba based 52B with 140K context on one gpu!!  -- </a> | <a href='https://huggingface.co/papers/2403.16627'> -- SDXS for realtime generation (upto 100FPS) -- </a> |   </div>""")
         with gr.Tabs()  as nav1:
             with gr.Tab("Rep - HTML"):
                 gr.HTML("UNWFWO = Unknown Native Word Foreign Word Order i.e. during active listening practice you only need the words you dont know")
             gr.HTML("<b>FINAL VERSION = Image placeholder + Merged Images + Side by Side Audio + UNWFWO Reader script + Spotify/Youtube integration in one interface</b>  <br>True mastery is from the relations between each item aka how every word relates to each other - Repitition in the form combinatorics - llm turns these into full sentences / ideas ")
             gr.HTML("Focus = Thinking = Audio = Repitition = This space is just ideas for optimising the audio content. - Audio of side by side version -- listen till you can say the foreign before the audio plays it (Knowledge version is Glossary as vocab you must mastering before reading)")
             with gr.Accordion("Some Current Incomplete Tests", open=False):
+                # with gr.Group():
+                #     gr.HTML("Stable LM 2 zephyr 1.6 Placeholder - llama-cpp-python issues locally") #Seperate space tested
+                #     gr.Interface(fn=lambda name: f"Placeholder to talk to Stable LM. Prompt = {name}", inputs="text", outputs="text")
+                # gr.Interface(fn=whisperlocaltts, inputs="file", outputs="text", description="Incomplete - Whisper base Test - Can record and then copy the text for use") #Seperate space tested
                 gr.HTML('Memorisation by string comparison idea <br><br>Result of prompt chain starting with:  Lets say I have the strings "red" and "ppalgan" how can I guess the second from the first from just spelling (eg. similar words and distance in the alphabet, ...), how can I use python to do this i.e. output of no matching letters, closest letter to r, then e, then d, a dictionary of letters that look similar eg. d and p, l and I a and d etc.')
                 gr.Interface(fn=letterbased_guess_word, inputs=["text", "text"], outputs="text", description="letter based guess suggestions (one word to one word is the designed use case)")
             gr.HTML("Side by side reading creator (Google Translate) TODO - Roman output of Non roman characters")
                     nllbtranscpubtnword4word.click(fn=nllbtransctranslationoptionalw4w, inputs=[nllbtranscpulangsrc, nllbtranscpulangdest, nllbtranscpuinput], outputs=[nllbtranscpuOutputword4word, nllbtranscpudetailsword4wordOutput])
                     nllbtranscpubtn.click(fn=nllbtransctranslation, inputs=[nllbtranscpulangsrc, nllbtranscpulangdest, nllbtranscpuinput], outputs=[nllbtranscpuOutput, nllbtranscpudetailsOutput])
             gr.Interface(fn=LoadNLTKUDHRText, inputs=NLTKudhr, outputs=["text", "textarea"], description="UDHR as some test texts")
+        with gr.Tab("Beginner - Listen + Read"):
+            gr.Label("Closed Eye Recital per new word | 1 new word a minute while recycling the words from the previous minutes")
+            with gr.Row():
+                with gr.Column(scale=1):
+                    gr.HTML("Listening - Songs - Chorus <br> Anticipation of the item to remember is how you learn lyrics that is why songs are easy as if you heard it 10 times already your capacity to anticipate the words is great <br><br> This is where TTS helps as you are ignoring all words except the words just before the actual <br> <b>Tiny Stories dataset is like a graded reader</b> <br>")
+                    gr.Interface(fn=TTSforListeningPractice, inputs=["text", TTSLangOptions, "checkbox"], outputs="audio", description="Paste chorus lyrics from below here and use TTS or make notes to save here (Or paste anything)")
+                    with gr.Accordion("TTS Spaces", open=False):
+                        TTSspaceoptions = gr.Dropdown(choices=["https://facebook-seamless-m4t-v2-large.hf.space", "https://mms-meta-mms.hf.space", "https://suno-bark.hf.space", "https://coqui-xtts.hf.space"], label="existing whisper spaces")
+                        TTSspaceoptionsbtn = gr.Button("Load a Image as prompt Space")
+                        TTSspaceoptionsOut = gr.HTML()
+                        TTSspaceoptionsbtn.click(fn=display_website, inputs=TTSspaceoptions, outputs=TTSspaceoptionsOut)
+                    gr.HTML("<p>Fastest way to learn words = is to have your own sound reference --> probably why babies learn fast as they make random noise</p> <p>If you know the flow of the song you can remember the spelling easier</p><p>Essentially if the sounds are repeated or long notes they are easy to remember</p>")
+                    gr.Interface(fn=AutoChorusInvestigator, inputs="text", outputs="text", description="Paste Full Lyrics to try find only chorus lines")
+                    gr.Interface(fn=AutoChorusPerWordScheduler, inputs="text", outputs="text", description="Create order of repitition for tts practice")
+                with gr.Column(scale=1):
+                    gr.HTML("""Reading - Caption images (SD/Dalle-E) <br> <a href='https://unsplash.com/'> -- Unsplash - free images -- </a> | <a href="https://huggingface.co/spaces/pharma/CLIP-Interrogator"> --Huggingface CLIP-Interrogator Space-- </a> | <a href='https://huggingface.co/spaces/fffiloni/CLIP-Interrogator-2'> -- Clip interrogator 2 -- </a> | <a href='https://huggingface.co/spaces/xinyu1205/Recognize_Anything-Tag2Text'> -- Tag2Text is faster than clip -- </a> | <br> <a href='https://huggingface.co/spaces/bkhmsi/Word-To-Image'> -- Transform word to an image -- </a> | <a href='https://huggingface.co/spaces/microsoft/Promptist'> -- Promptist (Microsoft) -- </a> | <a href='https://huggingface.co/spaces/xinyu1205/Recognize_Anything-Tag2Text'> -- RAM and Tag2Text -- </a> | <a href='https://huggingface.co/spaces/curt-park/segment-anything-with-clip'> -- SAM with Clip -- </a> """)
+                    with gr.Accordion("RAM/Tag2Text Space - Create Tags here and Copy paste", open=False):
+                        RAMSpaceLink = gr.Textbox("https://xinyu1205-recognize-anything.hf.space")
+                        RAMSpacetest = gr.HTML("")
+                        RAMSpacetestbtn = gr.Button('Load Space')
+                        RAMSpacetestbtn.click(display_website, RAMSpaceLink, RAMSpacetest)
+                    with gr.Accordion("Grounded SAM Space Test", open=False):
+                        SAMSpaceLink = gr.Textbox("https://linfanluntan-grounded-sam.hf.space")
+                        SAMSpacetest = gr.HTML("")
+                        SAMSpacetestbtn = gr.Button('Load Space')
+                        SAMSpacetestbtn.click(display_website, SAMSpaceLink, SAMSpacetest)
+                    gr.HTML("Use Shift Enter To put text on new lines if the text doesnt fit <br> if theres an error you have to remove the foreign letters and place roman ones")
+                    gr.Interface(fn=add_text_to_image , inputs=["image", "text"], outputs="image", description="Create Annotated images (Can create using stable diffusion and use the prompt) - Describe from one side to the other to make guessing easy")
+        with gr.Tab("Basic Sentence Builder"):
+            with gr.Tab("SVO"):
+                gr.Markdown(
+                    """
+                    ## Subject-Verb-Object (SVO) Order
+                    Some languages that follow the SVO order:
+                    - English
+                    - Spanish
+                    - French
+                    - Italian
+                    - Chinese
+                    """
+                )
+                svo_subject = gr.Dropdown(sentbuildsubjects, label="Subject")
+                svo_verb = gr.Dropdown(sentbuildverbs, label="Verb")
+                svo_object = gr.Dropdown(sentbuildobjects, label="Object")
+                svo_output = gr.Textbox(label="Sentence (SVO)")
+                svo_btn = gr.Button("Generate SVO Sentence")
+                svo_btn.click(build_sentence_basic, inputs=[svo_subject, svo_verb, svo_object, gr.State("SVO")], outputs=svo_output)
+            with gr.Tab("SOV"):
+                gr.Markdown(
+                    """
+                    ## Subject-Object-Verb (SOV) Order
+                    Some languages that follow the SOV order:
+                    - Japanese
+                    - Korean
+                    - Turkish
+                    - Hindi
+                    - Latin
+                    """
+                )
+                sov_subject = gr.Dropdown(sentbuildsubjects, label="Subject")
+                sov_object = gr.Dropdown(sentbuildobjects, label="Object")
+                sov_verb = gr.Dropdown(sentbuildverbs, label="Verb")
+                sov_output = gr.Textbox(label="Sentence (SOV)")
+                sov_btn = gr.Button("Generate SOV Sentence")
+                sov_btn.click(build_sentence_basic, inputs=[sov_subject, sov_verb, sov_object, gr.State("SOV")], outputs=sov_output)
+            with gr.Tab("VSO"):
+                gr.Markdown(
+                    """
+                    ## Verb-Subject-Object (VSO) Order
+                    Some languages that follow the VSO order:
+                    - Arabic
+                    - Hebrew
+                    - Irish
+                    - Welsh
+                    - Samoan
+                    """
+                )
+                vso_verb = gr.Dropdown(sentbuildverbs, label="Verb")
+                vso_subject = gr.Dropdown(sentbuildsubjects, label="Subject")
+                vso_object = gr.Dropdown(sentbuildobjects, label="Object")
+                vso_output = gr.Textbox(label="Sentence (VSO)")
+                vso_btn = gr.Button("Generate VSO Sentence")
+                vso_btn.click(build_sentence_basic, inputs=[vso_subject, vso_verb, vso_object, gr.State("VSO")], outputs=vso_output)
+            with gr.Tab("Complex Sentence Builder"):
+                gr.Markdown(
+                    """
+                    ## Complex Sentence Builder
+                    Create intricate sentences using various grammatical components.
+                    """
+                )
+                complex_subject = gr.Dropdown(sentbuildsubjects, label="Subject")
+                complex_verb = gr.Dropdown(sentbuildverbs, label="Verb")
+                complex_object = gr.Dropdown(sentbuildobjects, label="Object")
+                complex_adjective = gr.Dropdown(sentbuildadjectives, label="Adjective")
+                complex_adverb = gr.Dropdown(sentbuildadverbs, label="Adverb")
+                complex_prep_phrase = gr.Dropdown(sentbuildprep_phrases, label="Prepositional Phrase")
+                complex_conjunction = gr.Dropdown(sentbuildconjunctions, label="Conjunction")
+                complex_structure = gr.Radio(sentbuildchoices, label="Structure")
+                complex_output = gr.Textbox(label="Complex Sentence")
+                complex_btn = gr.Button("Generate Complex Sentence")
+                complex_btn.click(build_sentence, inputs=[complex_subject, complex_verb, complex_object, complex_adjective, complex_adverb, complex_prep_phrase, complex_conjunction, complex_structure], outputs=complex_output)
+            with gr.Tab("Quiz"):
+                # ... (Quiz tab remains the same)
+                gr.Markdown(
+                """
+                ## Sentence Order Quiz
+                Test your knowledge of sentence orders by identifying the correct order for each given sentence.
+                """
+                )
+                quiz_sentence = gr.Textbox(label="Sentence")
+                quiz_question = gr.Textbox(label="Question")
+                quiz_choices = gr.Radio(["SVO", "SOV", "VSO"], label="Options")
+                quiz_answer = gr.Textbox(label="Answer")
+                quiz_feedback = gr.Textbox(label="Feedback")
+                quiz_button = gr.Button("Generate Quiz Question")
+                quiz_button.click(sentbuildgenerate_quiz_question, inputs=[], outputs=[quiz_sentence, quiz_question, quiz_choices, quiz_answer])
+                submit_button = gr.Button("Submit Answer")
+                submit_button.click(sentbuildcheck_answer, inputs=[quiz_choices, quiz_answer], outputs=[quiz_feedback, submit_button])
         with gr.Tab("Youtube Subs Listening Comprehension"):
             gr.HTML("<a href='https://www.lingq.com/en/'>State Management Solution for Word --> Find LingQ Here --> https://www.lingq.com/en/</a>")
             with gr.Tab("New - Learning with Youtube"):
                 gr.Text("Text to Closed Class + Adjectives + Punctuation or Noun Verb + Punctuation ")
             with gr.Tab("Audio - Only English thoughts as practice"):
                 gr.HTML("For Audio Most productive is real time recall of native (where your full reasoning ability will always be) <br><hr> Find Replace new lines of the foreign text with full stops or | to get per word translation")
+                gr.Interface(fn=TTSforListeningPractice, inputs=["text", TTSLangOptions2], outputs="audio", description="Paste only english words in foreign order and then keep removing the words from this to practice as effectively")
         with gr.Tab("Speed through Imagery"):
             gr.HTML("<a href='https://chat.openai.com/g/g-bYMSVlb8y-lingua-link'> -- Lingua Link (Simple GPT for assistinng image creation) -- </a> <br>Use with placeholder generator tab below <br> Best for this is 2 nouns as one phrase i.e. nouns as adjectives and then you can a verb (1000 of those will take you far)")
             with gr.Accordion("More Details - conversation example", open=False):
                 gr.Interface(fn=onlyplurals, inputs=["text"], outputs=["text"], description="Only plurals = optimal concepts to learn first as LT work = repitition")
                 gr.Interface(fn=create_acronym_map, inputs="textbox", outputs="textbox", description="Acronyms")
                 gr.Interface(fn=keep_nouns, inputs="textbox", outputs="textbox", description="Nouns only")
+            with gr.Tab("Placeholder Generation"):
                 gr.HTML("Placeholder for every image of each sentence - Good for ChatGPT + Dall-E  (First 16 Characters is part of the filename if you get error)")
+                gr.Interface(fn=lambda s: ".".join(s.split()), inputs=["text"], outputs=["text"], description="Use full stops before input below to make a world level version")
                 with gr.Row():
                     with gr.Column(scale=4):
                         imageplaceholderinput = gr.TextArea(placeholder="Enter Text and Get a line by line (stand in for sentences for now) placeholder for image associated with the text")
                     with gr.Column(scale=2):
                         imageplaceholdertextoutput = gr.Code("The code for the HTML created will come here")
                 imageplaceholderbtn.click(fn=imagebasedreading, inputs=[imageplaceholderinput], outputs=[imageplaceholderdownload, imageplaceholderoutput, imageplaceholdertextoutput])
+            with gr.Tab("Word level Placeholder Generation"):
                 gr.HTML("Placeholder for every image of each word - Good for ChatGPT + Dall-E (First 16 Characters is part of the filename if you get error)")
                 with gr.Row():
                     with gr.Column(scale=4):
                     <br><br> # https://docs.aws.amazon.com/polly/latest/dg/ref-phoneme-tables-shell.html
                     <br><br> # https://docs.aws.amazon.com/polly/latest/dg/ph-table-english-za.html
                     <br><br> # https://docs.aws.amazon.com/polly/latest/dg/ph-table-korean.html""")
         #with gr.Tab("Transcribe - RASMUS Whisper"):
             #gr.Interface.load("spaces/RASMUS/Whisper-youtube-crosslingual-subtitles", title="Subtitles")
         with gr.Tab("Beginner - Reading Assitant + Unknown Tracker"):
             """)
         with gr.Tab("Transition is the end goal (SOV, SVO, VSO)"):
+            gr.Interface(fn=FrontRevSentChunk, inputs=[ChunkModeDrop, "checkbox", "text", langdest], outputs="text", description="Chunks creator")
             with gr.Row():
                 with gr.Column():
                     gr.Interface(fn=AutoSyllablePractice, inputs="text", outputs="text", description="One Word At A Time | Audio Spelling Practice Using vowels as the seperator")
                         gr.Textbox(label='Use this text to hold translations of the SQL rows in the above linked dataset (A kind of What I say vs what I want)')
+lliface.queue().launch(share=True) #docker #(inbrowser="true") #colab
+#httpcore and googletrans seem to be the cause all my bugs ---> These are problems to watch
+#not using the exact package versions as your local environment will lead to problems in the future when backwards compatibility is not reintroduced