forked from Archives/langchain
705431aecc
Co-authored-by: Ankush Gola <ankush.gola@gmail.com>
170 lines
4.5 KiB
Plaintext
170 lines
4.5 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "df770c72",
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"metadata": {},
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"source": [
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"# YouTube\n",
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"\n",
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"How to load documents from YouTube transcripts.\n",
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"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "427d5745",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain.document_loaders import YoutubeLoader\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "34a25b57",
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"metadata": {
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"scrolled": true
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},
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"outputs": [],
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"source": [
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"# !pip install youtube-transcript-api"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "bc8b308a",
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"metadata": {},
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"outputs": [],
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"source": [
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"loader = YoutubeLoader.from_youtube_url(\"https://www.youtube.com/watch?v=QsYGlZkevEg\", add_video_info=True)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d073dd36",
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"metadata": {},
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"outputs": [],
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"source": [
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"loader.load()"
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]
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},
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{
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"cell_type": "markdown",
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"id": "6b278a1b",
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"metadata": {},
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"source": [
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"## Add video info"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "ba28af69",
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"metadata": {},
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"outputs": [],
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"source": [
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"# ! pip install pytube"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "9b8ea390",
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"metadata": {},
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"outputs": [],
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"source": [
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"loader = YoutubeLoader.from_youtube_url(\"https://www.youtube.com/watch?v=QsYGlZkevEg\", add_video_info=True)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "97b98e92",
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"metadata": {},
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"outputs": [],
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"source": [
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"loader.load()"
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]
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},
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{
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"cell_type": "markdown",
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"id": "65796cc5",
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"metadata": {},
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"source": [
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"## YouTube loader from Google Cloud\n",
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"\n",
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"### Prerequisites\n",
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"\n",
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"1. Create a Google Cloud project or use an existing project\n",
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"1. Enable the [Youtube Api](https://console.cloud.google.com/apis/enableflow?apiid=youtube.googleapis.com&project=sixth-grammar-344520)\n",
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"1. [Authorize credentials for desktop app](https://developers.google.com/drive/api/quickstart/python#authorize_credentials_for_a_desktop_application)\n",
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"1. `pip install --upgrade google-api-python-client google-auth-httplib2 google-auth-oauthlib youtube-transcript-api`\n",
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"\n",
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"### 🧑 Instructions for ingesting your Google Docs data\n",
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"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",
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"\n",
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"`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",
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"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."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "c345bc43",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain.document_loaders import GoogleApiClient, GoogleApiYoutubeLoader\n",
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"\n",
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"# Init the GoogleApiClient \n",
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"from pathlib import Path\n",
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"\n",
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"\n",
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"google_api_client = GoogleApiClient(credentials_path=Path(\"your_path_creds.json\"))\n",
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"\n",
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"\n",
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"# Use a Channel\n",
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"youtube_loader_channel = GoogleApiYoutubeLoader(google_api_client=google_api_client, channel_name=\"Reducible\",captions_language=\"en\")\n",
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"\n",
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"# Use Youtube Ids\n",
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"\n",
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"youtube_loader_ids = GoogleApiYoutubeLoader(google_api_client=google_api_client, video_ids=[\"TrdevFK_am4\"], add_video_info=True)\n",
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"\n",
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"# returns a list of Documents\n",
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"youtube_loader_channel.load()"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.1"
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},
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"vscode": {
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"interpreter": {
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"hash": "604c1013f65d31a2eb1fca07aae054bedd5a5a0d272dbb31e502c81f0b254b99"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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