app.py

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)

    financial_trading_inputs = {
        'stock_selection': 'AAPL',
        'initial_capital': '100000',
        'risk_tolerance': 'Medium',
        'trading_strategy_preference': 'Day Trading',
        'news_impact_consideration': True
    }
    
    return get_crew().kickoff(inputs=financial_trading_inputs)

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()