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import gradio as gr
import agentops, os
from crew import get_crew
#from openai import OpenAI
def invoke(openai_api_key, serper_api_key, topic):
if (openai_api_key == ""):
raise gr.Error("OpenAI API Key is required.")
if (serper_api_key == ""):
raise gr.Error("Serper API Key is required.")
if (topic == ""):
raise gr.Error("Topic is required.")
os.environ["OPENAI_API_KEY"] = openai_api_key
os.environ["SERPER_API_KEY"] = serper_api_key
#OPENAI_API_KEY = openai_api_key
AGENTOPS_API_KEY = os.environ["AGENTOPS_API_KEY"]
#logging.basicConfig(level=logging.DEBUG)
#openai = OpenAI(api_key=OPENAI_API_KEY)
agentops.init(AGENTOPS_API_KEY)
return get_crew().kickoff(inputs={"topic": topic})
description = """TODO <a href='https://www.gradio.app/'>Gradio</a> UI using the <a href='https://openai.com/'>OpenAI</a> SDK
with <a href='https://openai.com/research/gpt-4'>gpt-4</a> model."""
gr.close_all()
demo = gr.Interface(fn = invoke,
inputs = [gr.Textbox(label = "OpenAI API Key", type = "password", lines = 1),
gr.Textbox(label = "Serper API Key", type = "password", lines = 1),
gr.Textbox(label = "Topic", value="Evolution of GenAI/LLM/RAG from naive RAG to advanced RAG to agentic RAG.", lines = 1)],
outputs = [gr.Textbox(label = "Output", lines = 1)],
title = "Agentic RAG: LinkedIn Post Generation",
description = description)
demo.launch() |