mirror of
https://github.com/hwchase17/langchain
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85 lines
2.7 KiB
Plaintext
85 lines
2.7 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "b0ed136e-6983-4893-ae1b-b75753af05f8",
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"metadata": {},
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"source": [
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"# Google Drive\n",
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"This notebook covers how to load documents from Google Drive. Currently, only Google Docs are supported.\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 [Google Drive API](https://console.cloud.google.com/flows/enableapi?apiid=drive.googleapis.com)\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`\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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"`GoogleDriveLoader` 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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"* Folder: https://drive.google.com/drive/u/0/folders/1yucgL9WGgWZdM1TOuKkeghlPizuzMYb5 -> folder id is `\"1yucgL9WGgWZdM1TOuKkeghlPizuzMYb5\"`\n",
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"* Document: https://docs.google.com/document/d/1bfaMQ18_i56204VaQDVeAFpqEijJTgvurupdEDiaUQw/edit -> document id is `\"1bfaMQ18_i56204VaQDVeAFpqEijJTgvurupdEDiaUQw\"`"
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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": 1,
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"id": "878928a6-a5ae-4f74-b351-64e3b01733fe",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"from langchain.document_loaders import GoogleDriveLoader"
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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": 2,
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"id": "2216c83f-68e4-4d2f-8ea2-5878fb18bbe7",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"loader = GoogleDriveLoader(folder_id=\"1yucgL9WGgWZdM1TOuKkeghlPizuzMYb5\")"
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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": 3,
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"id": "8f3b6aa0-b45d-4e37-8c50-5bebe70fdb9d",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"docs = loader.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": "3.10.9"
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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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