| 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 not 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 = 50)], | |
| outputs = [gr.Markdown(label = "Game", value=os.environ["OUTPUT"], line_breaks=True, sanitize_html=False)], | |
| title = "Multi-Agent AI: Chess", | |
| description = os.environ["DESCRIPTION"]) | |
| demo.launch() |