Spaces:
Running
Running
Update app.py
Browse files
app.py
CHANGED
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@@ -246,14 +246,19 @@ groupinput_text = gr.inputs.Textbox(lines=2, label="Enter a list of words")
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groupoutput_text = gr.outputs.Textbox(label="Grouped words")
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with gr.Blocks() as lliface:
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with gr.Tab("Welcome
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gr.HTML("""<h1> Spaces Test - Still Undercontruction </h1> <p> You only learn when you convert things you dont know to known --> Normally Repetition is the only reliable method for everybody </p>
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<p> Knowledge is a Language but productive knowledge is find replace as well </p> <p>LingQ is good option for per word state management</p> <p> Arrows app json creator for easy knowledge graphing and spacy POS graph? </p>
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<p> Vocab = Glossary + all non text wall(lists, diagrams, etc.)</p>
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<p>https://huggingface.co/spaces/vumichien/whisper-speaker-diarization<br></p>
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gr.
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with gr.Tab("Spelling and Chunks"):
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gr.HTML("<p> Spelling is the end goal, you already know many letter orders called words so you need leverage them to remember random sequences")
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with gr.Tab("Spelling Simplification - Use a dual language list"):
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groupoutput_text = gr.outputs.Textbox(label="Grouped words")
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with gr.Blocks() as lliface:
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with gr.Tab("Welcome"):
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gr.HTML("""<h1> Spaces Test - Still Undercontruction </h1> <p> You only learn when you convert things you dont know to known --> Normally Repetition is the only reliable method for everybody </p>
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<p> Knowledge is a Language but productive knowledge is find replace as well </p> <p>LingQ is good option for per word state management</p> <p> Arrows app json creator for easy knowledge graphing and spacy POS graph? </p>
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<p> Vocab = Glossary + all non text wall(lists, diagrams, etc.)</p>
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<p> https://huggingface.co/spaces/vumichien/whisper-speaker-diarization<br></p>
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<p> In Language the goal is bigger vocab --> Knowledge equivalent = question answer pairs but to get to those you need related information pairs</p>
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<p> ChatGPT Turns Learning into a read only what you dont know ask only what you dont know feedback loop --> All you have to do is keep track of what prompts you have asked in the past</p>""")
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with gr.Tab("Unique word ID"):
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gr.Interface(fn=unique_word_count, inputs="text", outputs="text", title="Wordcounter")
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gr.Interface(fn=SepHypandSynExpansion, inputs="text", outputs=["text", "text"], title="Word suggestions")
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gr.Interface(fn=WikiSearch, inputs="text", outputs="text", title="Unique word suggestions(wiki articles)")
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with gr.Tab("Automating related information linking"):
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gr.HTML("Questions - Tacking and suggesting questions to ask = new education")
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with gr.Tab("Spelling and Chunks"):
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gr.HTML("<p> Spelling is the end goal, you already know many letter orders called words so you need leverage them to remember random sequences")
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with gr.Tab("Spelling Simplification - Use a dual language list"):
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