app.py

# app.py
import gradio as gr
from my_memory_logic import run_with_session_memory

def chat_interface_fn(message, history, session_id):
    """
    Single-turn function for Gradio's ChatInterface.
    'session_id' is used to store conversation across turns.
    """
    answer = run_with_session_memory(message, session_id)
    # Update local 'history' for the UI
    history.append((message, answer))

    # Convert to openai-style message dicts
    message_dicts = []
    for user_msg, ai_msg in history:
        message_dicts.append({"role": "user", "content": user_msg})
        message_dicts.append({"role": "assistant", "content": ai_msg})
    return message_dicts, history

with gr.Blocks() as demo:
    session_id_box = gr.Textbox(label="Session ID", value="abc123", interactive=True)
    
    chat_interface = gr.ChatInterface(
        fn=lambda msg, hist: chat_interface_fn(msg, hist, session_id_box.value),
        title="DailyWellnessAI (Session-based Memory)",
        description="Multi-turn chat using session ID and RunnableWithMessageHistory."
    )

demo.launch()