app.py

import gradio as gr
import os, threading

from multi_agent import run_multi_agent

lock = threading.Lock()

LLM = "gpt-4o"

def invoke(openai_api_key, task):
    if not openai_api_key:
        raise gr.Error("OpenAI API Key is required.")

    if not task:
        raise gr.Error("Task is required.")

    raise gr.Error("Please clone space due to local code execution.")
    
    with lock:
        os.environ["OPENAI_API_KEY"] = openai_api_key
        result = run_multi_agent(LLM, task)
        del os.environ["OPENAI_API_KEY"]
        return result

def clear():
    return ""

gr.close_all()

with gr.Blocks() as assistant:
    gr.Markdown("## Multi-Agent AI: Coding")
    gr.Markdown(os.environ.get("DESCRIPTION"))

    with gr.Row():
        with gr.Column(scale=1):
            with gr.Row():
                openai_api_key = gr.Textbox(label = "OpenAI API Key", type = "password", lines = 1)
                task = gr.Textbox(label = "Task", value=os.environ["INPUT"], lines = 1)            
            with gr.Row():
                clear_btn = gr.ClearButton(
                    components=[openai_api_key, task]
                )
                submit_btn = gr.Button("Submit", variant="primary")
        with gr.Column(scale=3):
            output = gr.Markdown(label = "Output", value=os.environ["OUTPUT"], line_breaks = True, sanitize_html = False)

    clear_btn.click(
        fn=clear,
        outputs=output
    )
    
    submit_btn.click(
        fn=invoke,
        inputs=[openai_api_key, task],
        outputs=output
    )

assistant.launch(mcp_server=True)