Create file_module.py
Browse files- file_module.py +49 -0
file_module.py
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import gradio as gr
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import os
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from tempfile import NamedTemporaryFile
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def file_dashboard():
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with gr.Column() as file_panel:
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gr.Markdown("""
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<div style='text-align: center;'>
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<img src='file/images/chatter_owl.png' width='120'>
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<h2>π File-Based Learning with <strong>Chatter the Owl</strong></h2>
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<p>Upload your notes, textbooks, or slides, and let me turn them into summaries, quizzes, and flashcards!</p>
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</div>
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""")
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file_upload = gr.File(label="π Upload Your Study Material", file_types=[".pdf", ".txt", ".md", ".pptx"])
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question_box = gr.Textbox(label="π¬ Ask a question about the uploaded file")
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with gr.Tabs():
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with gr.Tab("π Summary"):
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summary_output = gr.Textbox(label="Generated Summary", lines=8, interactive=False)
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with gr.Tab("π§ Flashcards"):
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flashcard_output = gr.Textbox(label="Generated Flashcards", lines=8, interactive=False)
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with gr.Tab("β Quiz"):
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quiz_output = gr.Textbox(label="Generated Quiz Questions", lines=8, interactive=False)
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with gr.Tab("π¬ Answer to Your Question"):
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answer_output = gr.Textbox(label="Answer", lines=4, interactive=False)
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def placeholder_logic(file, question):
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# Placeholder logic until GPT + parsing is added
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summary = "This is a summary of your uploaded content."
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flashcards = "Flashcard 1: Question? | Answer.\nFlashcard 2: Question? | Answer."
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quiz = "1. What is...?\n2. Explain..."
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answer = f"You asked: {question}\nHere's a helpful answer from your content."
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return summary, flashcards, quiz, answer
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file_upload.change(
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fn=lambda file: placeholder_logic(file, ""),
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inputs=[file_upload],
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outputs=[summary_output, flashcard_output, quiz_output, answer_output]
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)
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question_box.change(
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fn=lambda question: placeholder_logic(None, question),
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inputs=[question_box],
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outputs=[summary_output, flashcard_output, quiz_output, answer_output]
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)
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return file_panel
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