app.py

# app.py — Final version using Gradio "messages" format

import gradio as gr
from generate import generate_response

# Chat function returning proper messages format
def chat_fn(history, message):
    # Build full conversation context from history
    context = ""
    for msg in history:
        context += f"User: {msg['content']}\n" if msg["role"] == "user" else f"Assistant: {msg['content']}\n"
    context += f"User: {message}\n"

    # Generate reply from Evo
    reply = generate_response(context)

    # Append user and assistant messages
    history.append({"role": "user", "content": message})
    history.append({"role": "assistant", "content": reply})
    return history, ""

# Launch Gradio app
with gr.Blocks() as demo:
    gr.Markdown("## 🧠 Chat with EvoDecoder — Lightweight Conversational AI")

    chatbot = gr.Chatbot(label="Chat with Evo", type="messages")
    state = gr.State([])

    with gr.Row():
        msg = gr.Textbox(label="Your message", placeholder="Ask Evo anything...")
        send_btn = gr.Button("Send")

    send_btn.click(chat_fn, inputs=[state, msg], outputs=[chatbot, msg])
    msg.submit(chat_fn, inputs=[state, msg], outputs=[chatbot, msg])

demo.launch()