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 (openai_api_key == ""):
        raise gr.Error("OpenAI API Key is required.")

    if (task == ""):
        raise gr.Error("Task is required.")
    
    with lock:
        os.environ["OPENAI_API_KEY"] = openai_api_key
        result = run_multi_agent(LLM, task)
        del os.environ["OPENAI_API_KEY"]
        return result

gr.close_all()

demo = gr.Interface(fn = invoke, 
                    inputs = [gr.Textbox(label = "OpenAI API Key", type = "password", lines = 1),
                              gr.Textbox(label = "Task", value = "Write a blogpost about the stock price performance of Nvidia in the past month. Today's date is 2024-06-03.")],
                    outputs = [gr.Textbox(label = "Result", value=os.environ["OUTPUT"])],
                    title = "Multi-Agent AI: Financial Analysis",
                    description = os.environ["DESCRIPTION"])

demo.launch()