text: chat or QA applications on YouTube videos is a topic of high interest.Below we show how to easily go from a YouTube url to text to chat!We wil use the OpenAIWhisperParser, which will use the OpenAI Whisper API to transcribe audio to text.Note: You will need to have an OPENAI_API_KEY supplied.from langchain.document_loaders.generic import GenericLoaderfrom langchain.document_loaders.parsers import OpenAIWhisperParserfrom langchain.document_loaders.blob_loaders.youtube_audio import YoutubeAudioLoaderWe will use yt_dlp to download audio for YouTube urls.We will use pydub to split downloaded audio files (such that we adhere to Whisper API's 25MB file size limit).pip install yt_dlp pip install pydubYouTube url to textâ€‹Use YoutubeAudioLoader to fetch / download the audio files.Then, ues OpenAIWhisperParser() to transcribe them to text.Let's take the first lecture of Andrej Karpathy's YouTube course as an example! # Two Karpathy lecture videosurls = ["https://youtu.be/kCc8FmEb1nY", "https://youtu.be/VMj-3S1tku0"]# Directory to save audio filessave_dir = "~/Downloads/YouTube"# Transcribe the videos to textloader = GenericLoader(YoutubeAudioLoader(urls, save_dir), OpenAIWhisperParser())docs = loader.load()    [youtube] Extracting URL: https://youtu.be/kCc8FmEb1nY    [youtube] kCc8FmEb1nY: Downloading webpage    [youtube] kCc8FmEb1nY: Downloading android player API JSON    [info] kCc8FmEb1nY: Downloading 1 format(s): 140    [dashsegments] Total fragments: 11