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import gradio as gr
import os, threading
from multi_agent import run_multi_agent
lock = threading.Lock()
LLM_WHITE = "gpt-4o"
LLM_BLACK = "gpt-4o"
def invoke(openai_api_key, num_moves = 10):
if (openai_api_key == ""):
raise gr.Error("OpenAI API Key is required.")
with lock:
os.environ["OPENAI_API_KEY"] = openai_api_key
result = run_multi_agent(LLM_WHITE, LLM_BLACK, num_moves)
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.Number(label = "Number of Moves", value = 10, minimum = 1, maximum = 25)],
outputs = [gr.Markdown(label = "Game", value=os.environ["OUTPUT"], line_breaks=True, sanitize_html=False)],
title = "Multi-Agent AI: Financial Analysis",
description = os.environ["DESCRIPTION"])
demo.launch() |