Update app.py

app.py

@@ -645,38 +645,4 @@ Available: {match.get('Available', 'N/A')}"""
 # This return statement MUST be inside the respond function definition
     return "", chat_history # Return empty string for the input box, and the updated history
 
-# --- Gradio Interface ---
-
-# Gradio will run this interface
-# The `chatbot` element will manage the chat history state automatically
-with gr.Blocks() as demo:
-    # Display the model ID in the title for clarity
-    gr.Markdown(f"# Business Q&A Assistant with {model_id}")
-    gr.Markdown("Ask questions about the business (details from Google Sheet) or general knowledge (via search).")
-
-    # The Chatbot component to display the conversation history
-    chatbot = gr.Chatbot(height=400) # height in pixels
-
-    # The Textbox component for user input
-    msg = gr.Textbox(label="Your Question")
-
-    # The Clear button to clear the input and chatbot history
-    clear = gr.ClearButton([msg, chatbot])
-
-    # The submit event: when the user presses Enter in the textbox or clicks the send button
-    # - fn: The Python function to call (our respond function)
-    # - inputs: A list of Gradio components whose values should be passed as arguments to the fn.
-    #           [msg] passes the user's input from the textbox.
-    #           [chatbot] passes the current state of the chatbot history.
-    # - outputs: A list of Gradio components that should be updated with the values returned by the fn.
-    #            [msg] is updated with the first return value (intended to clear the textbox with "").
-    #            [chatbot] is updated with the second return value (the updated chat history).
-    msg.submit(fn=respond, inputs=[msg, chatbot], outputs=[msg, chatbot])
-
-# Launch the Gradio app
-# share=True creates a public link (useful for testing, disable for private apps) - Use with caution.
-# enable_queue=True can help handle multiple users by queuing requests.
-if __name__ == "__main__":
-    print("Launching Gradio app...")
-    # Use server_name="0.0.0.0" and server_port=7860 for Hugging Face Spaces default deployment
-    demo.launch(server_name="0.0.0.0", server_port=7860)
+# --