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import gradio as gr
import os, threading
from multi_agent import run_multi_agent
lock = threading.Lock()
os.environ["LANGCHAIN_TRACING_V2"] = "true"
os.environ["LANGCHAIN_PROJECT"] = "langgraph-multi-agent"
LLM = "gpt-4o"
def invoke(openai_api_key, topic):
if (openai_api_key == ""):
raise gr.Error("OpenAI API Key is required.")
if (topic == ""):
raise gr.Error("Topic is required.")
with lock:
os.environ["OPENAI_API_KEY"] = openai_api_key
result = run_multi_agent(LLM, topic)
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 = "Topic", value=os.environ["TOPIC"], lines = 1)],
outputs = [gr.Markdown(label = "Generated Article", value=os.environ["OUTPUT"])],
title = "Multi-Agent AI: Article Generation",
description = os.environ["DESCRIPTION"])
demo.launch() |