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import gradio as gr
import os, threading
from multi_agent import run_multi_agent
lock = threading.Lock()
LLM_WHITE = "gpt-4.1"
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"]
print("===")
print(result)
print("===")
return result
def clear():
return ""
gr.close_all()
with gr.Blocks() as assistant:
gr.Markdown("## Multi-Agent AI: Chess")
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)
num_moves = gr.Number(label = "Number of Moves", value = 10, minimum = 1, maximum = 50)
with gr.Row():
clear_btn = gr.ClearButton(
components=[openai_api_key, num_moves]
)
submit_btn = gr.Button("Submit", variant="primary")
with gr.Column(scale=2):
game = gr.Markdown(label = "Game", value=os.environ["OUTPUT"], line_breaks=True, sanitize_html=False)
clear_btn.click(
fn=clear,
outputs=game
)
submit_btn.click(
fn=invoke,
inputs=[openai_api_key, num_moves],
outputs=game
)
assistant.launch() |