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YouTube is an online video sharing and social media platform created by Google.
This notebook covers how to load documents from YouTube transcripts. 
from langchain_community.document_loaders import YoutubeLoader 
pip install -qU youtube-transcript-api 
loader = YoutubeLoader.from_youtube_url(  "https://www.youtube.com/watch?v=QsYGlZkevEg", add_video_info=False ) 
loader.load()

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Add video info

pip install -qU pytube 
loader = YoutubeLoader.from_youtube_url(  "https://www.youtube.com/watch?v=QsYGlZkevEg", add_video_info=True ) loader.load()

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Add language preferences

Language param : It’s a list of language codes in a descending priority, en by default. translation param : It’s a translate preference, you can translate available transcript to your preferred language. 
loader = YoutubeLoader.from_youtube_url(  "https://www.youtube.com/watch?v=QsYGlZkevEg",  add_video_info=True,  language=["en", "id"],  translation="en", ) loader.load()

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Get transcripts as timestamped chunks

Get one or more Document objects, each containing a chunk of the video transcript. The length of the chunks, in seconds, may be specified. Each chunk’s metadata includes a URL of the video on YouTube, which will start the video at the beginning of the specific chunk. transcript_format param: One of the langchain_community.document_loaders.youtube.TranscriptFormat values. In this case, TranscriptFormat.CHUNKS. chunk_size_seconds param: An integer number of video seconds to be represented by each chunk of transcript data. Default is 120 seconds. 
from langchain_community.document_loaders.youtube import TranscriptFormat  loader = YoutubeLoader.from_youtube_url(  "https://www.youtube.com/watch?v=TKCMw0utiak",  add_video_info=True,  transcript_format=TranscriptFormat.CHUNKS,  chunk_size_seconds=30, ) print("\n\n".join(map(repr, loader.load())))

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YouTube loader from Google Cloud

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Prerequisites

  1. Create a Google Cloud project or use an existing project
  2. Enable the Youtube Api
  3. Authorize credentials for desktop app
  4. pip install -U google-api-python-client google-auth-httplib2 google-auth-oauthlib youtube-transcript-api

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🧑 Instructions for ingesting your Google Docs data

By default, the GoogleDriveLoader expects the credentials.json file to be ~/.credentials/credentials.json, but this is configurable using the credentials_file keyword argument. Same thing with token.json. Note that token.json will be created automatically the first time you use the loader. GoogleApiYoutubeLoader can load from a list of Google Docs document ids or a folder id. You can obtain your folder and document id from the URL: Note depending on your set up, the service_account_path needs to be set up. See here for more details. 
# Init the GoogleApiClient from pathlib import Path  from langchain_community.document_loaders import GoogleApiClient, GoogleApiYoutubeLoader  google_api_client = GoogleApiClient(credentials_path=Path("your_path_creds.json"))   # Use a Channel youtube_loader_channel = GoogleApiYoutubeLoader(  google_api_client=google_api_client,  channel_name="Reducible",  captions_language="en", )  # Use Youtube Ids  youtube_loader_ids = GoogleApiYoutubeLoader(  google_api_client=google_api_client, video_ids=["TrdevFK_am4"], add_video_info=True )  # returns a list of Documents youtube_loader_channel.load()
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