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import gradio as gr
import agentops, os
from crew import get_crew
LLM = "gpt-4o"
def invoke(openai_api_key, topic, word_count=500):
if (openai_api_key == ""):
raise gr.Error("OpenAI API Key is required.")
if (topic == ""):
raise gr.Error("Topic is required.")
#agentops.init(os.environ["AGENTOPS_API_KEY"])
os.environ["OPENAI_API_KEY"] = openai_api_key
result = get_crew(LLM).kickoff(inputs={"topic": topic, "word_count": word_count})
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),
gr.Number(label = "Word Count", value=1000, minimum=500, maximum=5000)],
outputs = [gr.Markdown(label = "Generated Blog Post", value=os.environ["OUTPUT"])],
title = "Multi-Agent RAG: Blog Post Generation",
description = os.environ["DESCRIPTION"])
demo.launch() |