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import gradio as gr | |
import agentops, os, threading | |
from crew import get_crew | |
lock = threading.Lock() | |
LLM = "gpt-4o" | |
TEMPERATURE = 0.7 | |
def invoke(openai_api_key, topic): | |
if not openai_api_key: | |
raise gr.Error("OpenAI API Key is required.") | |
if not topic: | |
raise gr.Error("Topic is required.") | |
agentops.init(os.environ["AGENTOPS_API_KEY"]) | |
with lock: | |
os.environ["OPENAI_API_KEY"] = openai_api_key | |
article = get_crew(LLM, TEMPERATURE).kickoff(inputs={"topic": topic}) | |
#print("===") | |
#print(article) | |
#print("===") | |
del os.environ["OPENAI_API_KEY"] | |
return article | |
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() |