import gradio as gr
import openai, os

from dotenv import load_dotenv, find_dotenv
_ = load_dotenv(find_dotenv())

#openai.api_key = os.environ["OPENAI_API_KEY"]

def invoke(openai_api_key, youtube_url):
    openai.api_key = openai_api_key
    #
    url="https://www.youtube.com/watch?v=jGwO_UgTS7I"
    save_dir="C:/Users/bstra/Downloads"
    loader = GenericLoader(
        YoutubeAudioLoader([url], save_dir),
        OpenAIWhisperParser()
    )
    docs = loader.load()
    #
    return completion

description = """<a href='https://www.gradio.app/'>Gradio</a> UI using <a href='https://platform.openai.com/'>OpenAI</a> API with Whisper 1 foundation model."""

gr.close_all()
demo = gr.Interface(fn=invoke, 
                    inputs = [gr.Textbox(label = "OpenAI API Key", lines = 1), gr.Textbox(label = "YouTube URL", lines = 1)],
                    outputs = [gr.Textbox(label = "Automatic Speech Recognition", lines = 1)],
                    title = "Generative AI - Audio",
                    description = description)
demo.launch()