| import gradio as gr | |
| import os, threading | |
| from multi_agent import run_multi_agent | |
| lock = threading.Lock() | |
| LLM = "gpt-4o" | |
| def invoke(openai_api_key, task): | |
| if (openai_api_key == ""): | |
| raise gr.Error("OpenAI API Key is required.") | |
| if (task == ""): | |
| raise gr.Error("Task is required.") | |
| 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 = "Write a blogpost about the stock price performance of Nvidia in the past month. Today's date is 2024-06-03.")], | |
| outputs = [gr.Textbox(label = "Result", value=os.environ["OUTPUT"])], | |
| title = "Multi-Agent AI: Financial Analysis", | |
| description = os.environ["DESCRIPTION"]) | |
| demo.launch() |