app.py

import gradio as gr
import requests
import json

MCP_SERVER_URL = "http://127.0.0.1:8000"  # internal port for MCP server

def respond(
    message,
    history: list[dict[str, str]],
    system_message,
    tool_name,
    hf_token: gr.OAuthToken,  # still needed if you want HF login
):
    """
    Replace model-based response with MCP server tool call.
    """
    try:
        # build request payload
        payload = {
            "tool_name": tool_name,
            "arguments": {"input": message, "history": history, "system": system_message}
        }
        resp = requests.post(f"{MCP_SERVER_URL}/tool", json=payload, timeout=120)
        resp.raise_for_status()
        data = resp.json()

        # return response
        response = json.dumps(data, indent=2, ensure_ascii=False)
        yield response

    except Exception as e:
        yield f"❌ Error: {e}"

# Gradio UI
chatbot = gr.ChatInterface(
    respond,
    type="messages",
    additional_inputs=[
        gr.Textbox(value="You are interacting with PowerPoint MCP.", label="System message"),
        gr.Textbox(value="create_presentation", label="Tool name"),
    ],
)

with gr.Blocks() as demo:
    with gr.Sidebar():
        gr.LoginButton()
    chatbot.render()

if __name__ == "__main__":
    demo.launch(server_name="0.0.0.0", server_port=7860)