Spaces:
Running
Running
File size: 1,550 Bytes
242965f 0d1448a e8da79a fc7e5cb 0d1448a e8da79a 0f48b51 e8da79a 0f48b51 7cfc686 c74f41d e8da79a 0f48b51 7cfc686 058357a c74f41d 7cfc686 e8da79a 0f48b51 42d899c d015f88 0f48b51 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 |
import gradio as gr
import agentops, logging, 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 = os.environ["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 = """<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="Agentic Retrieval-Augmented Generation", lines = 1)],
outputs = [gr.Textbox(label = "Output", lines = 1)],
title = "Agentic RAG: Write Blog Post",
description = description)
demo.launch() |