app.py

import gradio as gr
import requests

# 1. This function handles the chat logic
def chat_and_collect(message, history):
    # The response the doctor avatar gives
    bot_message = f"I've noted that you said: '{message}'. To help further, could you tell me more about your symptoms?"
    
    # NEW FIX: Gradio now expects history to be updated like this
    history.append((message, bot_message))
    
    # Returns empty string for the input box and the updated history for the chatbot
    return "", history

# 2. Build the visual interface
with gr.Blocks(theme=gr.themes.Soft()) as demo:
    gr.Markdown("# 🏥 Patient Data Intake Assistant")
    
    with gr.Row():
        # Displays your doctor image
        avatar_display = gr.Image("avatar.webp", label="Your Assistant", width=300)
    
    # The chatbot component
    chatbot = gr.Chatbot()
    
    # The text input for the patient
    msg = gr.Textbox(label="Your Response", placeholder="Type here...")
    
    # Clear button to reset
    clear = gr.Button("Restart Conversation")

    # This connects the text box to our function
    msg.submit(chat_and_collect, [msg, chatbot], [msg, chatbot])
    
    # This resets the chat history
    clear.click(lambda: None, None, chatbot, queue=False)

# 3. Launch the app
demo.launch(server_name="0.0.0.0", server_port=7860)