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import gradio as gr
import openai, os
from langchain.document_loaders.generic import GenericLoader
from langchain.document_loaders.parsers import OpenAIWhisperParser
from langchain.document_loaders.blob_loaders.youtube_audio import YoutubeAudioLoader
from dotenv import load_dotenv, find_dotenv
_ = load_dotenv(find_dotenv())
openai.api_key = os.environ["OPENAI_API_KEY"]
def invoke(url):
loader = None
url = url
save_dir = "/docs/youtube"
loader = GenericLoader(
YoutubeAudioLoader([url], save_dir),
OpenAIWhisperParser()
)
docs = loader.load()
print(url)
print(docs[0].page_content)
if (len(docs) > 1):
print(docs[1].page_content)
return docs[0].page_content
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 = "YouTube URL", lines = 1)],
outputs = [gr.Textbox(label = "Automatic Speech Recognition", lines = 1)],
title = "Generative AI - Audio",
description = description)
demo.launch() |