Spaces:
Running
Running
File size: 1,220 Bytes
242965f cfbcfed e8da79a fc7e5cb 5e8e222 cfbcfed bb7709c eca239c 890784c e8da79a 471fdf2 780dce9 e8da79a 780dce9 7cfc686 bf7f003 4afd97e 37d316b cfbcfed 4813aa3 cfbcfed a9f6bbd cfbcfed e8da79a 471fdf2 c288e8e 9b9368d 2dead2b e8da79a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 |
import gradio as gr
import agentops, os, threading
from crew import get_crew
lock = threading.Lock()
LLM = "gpt-4o"
TEMPERATURE = 0.01
VERBOSE = False
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 = str(get_crew(LLM, TEMPERATURE, VERBOSE).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 = "Article", value=os.environ["OUTPUT"], line_breaks = True, sanitize_html = False)],
title = "Multi-Agent AI: Article Writing",
description = os.environ["DESCRIPTION"])
demo.launch() |