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Update app.py
Browse files
app.py
CHANGED
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@@ -541,153 +541,153 @@ with gr.Blocks(
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# )
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# pdf_link_btn = gr.Markdown("")
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# Defines the main chat logic as a generator function for streaming output.
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def chat_ui(user_message, chat_history):
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# This is a helper function to avoid repeating the event handler chain.
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def submit_chain():
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def show_pdf_link(link):
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def clear_chat():
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clear_btn.click(
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)
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def show_feedback_box():
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def show_appreciation():
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thumbs_down.click(
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)
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thumbs_up.click(
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)
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def handle_feedback(text):
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submit_feedback_btn.click(
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)
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examples.dataset.click(
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).then(
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).then(
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).then(
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)
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# Set up the event handler for the "Submit" button click.
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ask_btn.click(
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# `.then()` chains subsequent actions after the first one completes.
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).then(
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).then(
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).then(
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)
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# Set up the same event handler for when the user presses Enter in the textbox.
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question.submit(
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).then(
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).then(
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).then(
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)
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# This block ensures the code inside only runs when the script is executed directly.
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if __name__ == "__main__":
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# )
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# pdf_link_btn = gr.Markdown("")
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# # Defines the main chat logic as a generator function for streaming output.
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# def chat_ui(user_message, chat_history):
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# # Initialize chat history if it's the first turn.
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# if chat_history is None:
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# chat_history = []
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# # Append the user's message to the chat history.
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# chat_history.append({
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# "role": "user",
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# "content": user_message
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# })
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# # Append a temporary "Thinking..." message from the assistant.
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# chat_history.append({
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# "role": "assistant",
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# "content": "🤔 Dox is thinking..."
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# })
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# # `yield` immediately updates the UI with the user's message and "Thinking...".
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# # It also clears the user's input textbox.
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# yield (
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# chat_history,
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# None, # No link yet.
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# gr.update(value=None, visible=False), # Hide image preview.
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# "" # Clear textbox.
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# )
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# # Call the agent to get the actual response and PDF link.
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# response_text, link = ask_agent(user_message)
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# # Replace the "Thinking..." message with the final response from the agent.
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# chat_history[-1] = {
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# "role": "assistant",
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# "content": response_text
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# }
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# # `yield` again to update the UI with the final response.
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# yield (
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# chat_history,
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# link, # Pass the extracted link to the link_state.
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# gr.update(value=None, visible=False), # Keep image preview hidden for now.
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# "" # Keep textbox clear.
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# )
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# # This is a helper function to avoid repeating the event handler chain.
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# def submit_chain():
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# # It specifies that `chat_ui` is the function to run.
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# # It maps the `question` textbox and `chatbot` history as inputs.
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# # It maps the outputs to `chatbot` history, `link_state`, `output_image`, and clears the `question` textbox.
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# return (
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# chat_ui,
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# [question, chatbot],
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# [chatbot, link_state, output_image, question]
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# )
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# def show_pdf_link(link):
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# if link:
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# return f"[📥 Open Full PDF]({link})"
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# return ""
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# def clear_chat():
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# return [], None, gr.update(value=None, visible=False), gr.update(value=None, visible=False), gr.update(value=None, visible=False)
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# clear_btn.click(
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# clear_chat,
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# outputs=[chatbot, link_state, output_image, feedback_box, submit_feedback_btn]
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# )
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# def show_feedback_box():
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# return gr.update(visible=True), gr.update(visible=True)
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# def show_appreciation():
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# logger.info("It was helpful!")
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# return "✅ Feedback submitted. Thank you!"
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# thumbs_down.click(
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# show_feedback_box,
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# outputs=[feedback_box, submit_feedback_btn]
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# )
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# thumbs_up.click(
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# show_appreciation,
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# outputs=feedback_status
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# )
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# def handle_feedback(text):
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# logger.info(f"User feedback: {text}")
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# return "✅ Feedback submitted. Thank you!"
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# submit_feedback_btn.click(
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# handle_feedback,
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# inputs=feedback_box,
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# outputs=feedback_status
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# )
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# examples.dataset.click(
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# *submit_chain()
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# ).then(
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# prepare_pdf_loading,
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# inputs=link_state,
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# outputs=pdf_status
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# ).then(
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# display_pdf,
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# inputs=link_state,
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# outputs=[output_image, pdf_status]
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# ).then(
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# show_pdf_link,
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# inputs=link_state,
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# outputs=pdf_link_btn
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# )
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# # Set up the event handler for the "Submit" button click.
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# ask_btn.click(
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# *submit_chain()
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# # `.then()` chains subsequent actions after the first one completes.
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# ).then(
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# # After chat_ui, call `prepare_pdf_loading` to show the "loading" message.
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# prepare_pdf_loading,
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# inputs=link_state, # Use the link from chat_ui's output.
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# outputs=pdf_status # Update the pdf_status text.
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# ).then(
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# # Finally, call `display_pdf` to render the PDF page.
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# display_pdf,
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# inputs=link_state, # Use the same link.
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# outputs=[output_image, pdf_status] # Update the image and hide the status text.
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# ).then(
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# show_pdf_link,
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# inputs=link_state,
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# outputs=pdf_link_btn
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# )
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# # Set up the same event handler for when the user presses Enter in the textbox.
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# question.submit(
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# *submit_chain()
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# ).then(
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# prepare_pdf_loading,
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# inputs=link_state,
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# outputs=pdf_status
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# ).then(
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# display_pdf,
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# inputs=link_state,
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# outputs=[output_image, pdf_status]
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# ).then(
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# show_pdf_link,
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# inputs=link_state,
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# outputs=pdf_link_btn
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# )
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# This block ensures the code inside only runs when the script is executed directly.
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if __name__ == "__main__":
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