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appi.py
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import GPTDriveIntegration
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import gradio as gr
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gpt_drive = GPTDriveIntegration()
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def process_user_query(query, search_terms_input):
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"""Process user query and return formatted response"""
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if not query.strip():
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return "Please enter a question.", ""
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# Parse search terms if provided
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search_terms = None
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# if search_terms_input.strip():
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# search_terms = [term.strip() for term in search_terms_input.split(',')]
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# Process the query
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result = gpt_drive.process_query(query, search_terms)
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# Format the response
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answer = result['answer']
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sources = result['sources']
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sources_text = ""
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if sources:
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sources_text = "**Sources used:**\n" + "\n".join([f"β’ {source}" for source in sources])
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return answer, sources_text
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def check_setup():
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"""Check if the APIs are properly configured"""
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status_messages = []
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# Check Google Drive API
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if gpt_drive.drive_initialized:
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status_messages.append("β
Google Drive API: Connected")
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else:
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status_messages.append(f"β Google Drive API: {getattr(gpt_drive, 'drive_error', 'Not configured')}")
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# Check OpenAI API
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if gpt_drive.openai_initialized:
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status_messages.append("β
OpenAI API: Connected")
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else:
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status_messages.append(f"β OpenAI API: {getattr(gpt_drive, 'openai_error', 'Not configured')}")
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return "\n".join(status_messages)
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# Create Gradio interface
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with gr.Blocks(title="Augusta's Anatomy Reading Assistant", theme=gr.themes.Soft()) as app:
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gr.Markdown("# π€ Augusta's Anatomy bot")
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gr.Markdown("Ask questions about your anatomy books using AI!")
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with gr.Row():
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with gr.Column(scale=2):
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# Main query interface
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with gr.Group():
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gr.Markdown("### Ask a Question")
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query_input = gr.Textbox(
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label="Your Question",
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placeholder="Ask me any question about your anatomy books?",
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lines=3
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)
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search_terms_input = gr.Textbox(
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label="Search Terms (optional)",
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placeholder="Enter comma-separated terms to search for specific files",
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lines=1
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)
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submit_btn = gr.Button("Search & Ask", variant="primary", size="lg")
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# Results section
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with gr.Group():
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gr.Markdown("### Answer")
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answer_output = gr.Textbox(
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label="AI Response",
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lines=10,
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interactive=False
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)
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sources_output = gr.Textbox(
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label="Sources",
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lines=3,
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interactive=False
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)
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with gr.Column(scale=1):
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# Status and setup info
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with gr.Group():
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gr.Markdown("### System Status")
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status_btn = gr.Button("Check Status", size="sm")
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status_output = gr.Textbox(
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label="API Status",
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lines=4,
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interactive=False
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)
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with gr.Group():
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gr.Markdown("### Setup Instructions")
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gr.Markdown("""
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**Important Notes:**
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1.Only documents shared with it, it can answer
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**File Types Supported:**
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- Google Docs
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- Google Sheets
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- PDF files
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- Text files
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**Tips:**
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- Use specific search terms for better results
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- The system searches the top 3 most relevant files
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- Ask clear, specific questions for better answers
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""")
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# Event handlers
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submit_btn.click(
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fn=process_user_query,
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inputs=[query_input, search_terms_input],
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outputs=[answer_output, sources_output]
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)
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status_btn.click(
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fn=check_setup,
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outputs=status_output
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)
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# Example queries
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with gr.Row():
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gr.Examples(
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examples=[
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["What is morbid Anatomy?", "morbid, Anatomy"],
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["The transmission of nerves from one neuron to another is as a result of what?", "neuron, nerves, Dr Clement"],
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],
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inputs=[query_input, search_terms_input],
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)
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# Launch the app
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if __name__ == "__main__":
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app.launch(
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share=True,debug =True)
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