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})

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 Retrieval-Augmented Generation 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 = os.environ["DESCRIPTION"])

demo.launch()