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import gradio as gr
import datetime, 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
gr.close_all()
demo = gr.Interface(fn = invoke,
inputs = [gr.Textbox(label = "OpenAI API Key", type = "password", lines = 1),
gr.Textbox(label = "Task", value = f"Today is {datetime.date.today()}. {os.environ['INPUT']}")],
outputs = [gr.Markdown(label = "Output", value = os.environ["OUTPUT"], line_breaks = True, sanitize_html = False)],
title = "Multi-Agent AI: Coding",
description = os.environ["DESCRIPTION"])
demo.launch() |