{ "cells": [ { "cell_type": "markdown", "id": "df770c72", "metadata": {}, "source": [ "# YouTube transcripts\n", "\n", ">[YouTube](https://www.youtube.com/) is an online video sharing and social media platform created by Google.\n", "\n", "This notebook covers how to load documents from `YouTube transcripts`." ] }, { "cell_type": "code", "execution_count": null, "id": "427d5745", "metadata": {}, "outputs": [], "source": [ "from langchain.document_loaders import YoutubeLoader\n" ] }, { "cell_type": "code", "execution_count": null, "id": "34a25b57", "metadata": { "scrolled": true }, "outputs": [], "source": [ "# !pip install youtube-transcript-api" ] }, { "cell_type": "code", "execution_count": null, "id": "bc8b308a", "metadata": {}, "outputs": [], "source": [ "loader = YoutubeLoader.from_youtube_url(\"https://www.youtube.com/watch?v=QsYGlZkevEg\", add_video_info=True)" ] }, { "cell_type": "code", "execution_count": null, "id": "d073dd36", "metadata": {}, "outputs": [], "source": [ "loader.load()" ] }, { "cell_type": "markdown", "id": "6b278a1b", "metadata": {}, "source": [ "## Add video info" ] }, { "cell_type": "code", "execution_count": null, "id": "ba28af69", "metadata": {}, "outputs": [], "source": [ "# ! pip install pytube" ] }, { "cell_type": "code", "execution_count": null, "id": "9b8ea390", "metadata": {}, "outputs": [], "source": [ "loader = YoutubeLoader.from_youtube_url(\"https://www.youtube.com/watch?v=QsYGlZkevEg\", add_video_info=True)" ] }, { "cell_type": "code", "execution_count": null, "id": "97b98e92", "metadata": {}, "outputs": [], "source": [ "loader.load()" ] }, { "cell_type": "markdown", "id": "65796cc5", "metadata": {}, "source": [ "## YouTube loader from Google Cloud\n", "\n", "### Prerequisites\n", "\n", "1. Create a Google Cloud project or use an existing project\n", "1. Enable the [Youtube Api](https://console.cloud.google.com/apis/enableflow?apiid=youtube.googleapis.com&project=sixth-grammar-344520)\n", "1. [Authorize credentials for desktop app](https://developers.google.com/drive/api/quickstart/python#authorize_credentials_for_a_desktop_application)\n", "1. `pip install --upgrade google-api-python-client google-auth-httplib2 google-auth-oauthlib youtube-transcript-api`\n", "\n", "### 🧑 Instructions for ingesting your Google Docs data\n", "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.\n", "\n", "`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:\n", "Note depending on your set up, the `service_account_path` needs to be set up. See [here](https://developers.google.com/drive/api/v3/quickstart/python) for more details." ] }, { "cell_type": "code", "execution_count": null, "id": "c345bc43", "metadata": {}, "outputs": [], "source": [ "from langchain.document_loaders import GoogleApiClient, GoogleApiYoutubeLoader\n", "\n", "# Init the GoogleApiClient \n", "from pathlib import Path\n", "\n", "\n", "google_api_client = GoogleApiClient(credentials_path=Path(\"your_path_creds.json\"))\n", "\n", "\n", "# Use a Channel\n", "youtube_loader_channel = GoogleApiYoutubeLoader(google_api_client=google_api_client, channel_name=\"Reducible\",captions_language=\"en\")\n", "\n", "# Use Youtube Ids\n", "\n", "youtube_loader_ids = GoogleApiYoutubeLoader(google_api_client=google_api_client, video_ids=[\"TrdevFK_am4\"], add_video_info=True)\n", "\n", "# returns a list of Documents\n", "youtube_loader_channel.load()" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.6" }, "vscode": { "interpreter": { "hash": "604c1013f65d31a2eb1fca07aae054bedd5a5a0d272dbb31e502c81f0b254b99" } } }, "nbformat": 4, "nbformat_minor": 5 }