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 = serper_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()