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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, message):
if not openai_api_key:
raise gr.Error("OpenAI API Key is required.")
if not message:
raise gr.Error("Message is required.")
with lock:
os.environ["OPENAI_API_KEY"] = openai_api_key
result = run_multi_agent(LLM, message)
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 = "Message", value = "Today is 06/03/2024. Create a plot showing stock gain YTD for NVDA and TLSA. Make sure the code is in markdown code block and save the figure to a file ytd_stock_gains.png.")],
outputs = [gr.Markdown(label = "Result", value=os.environ["OUTPUT"])],
title = "Multi-Agent AI: Financial Analysis",
description = os.environ["DESCRIPTION"])
demo.launch() |