forked from phoenix/litellm-mirror
trying to add docs
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ishaan-jaff
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{
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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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"\n",
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">[Google Drive](https://en.wikipedia.org/wiki/Google_Drive) is a file storage and synchronization service developed by Google.\n",
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"\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_path` keyword argument. Same thing with `token.json` - `token_path`. 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": null,
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"id": "6e40071c-3a65-4e26-b497-3e2be0bd86b9",
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"metadata": {},
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"outputs": [],
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"source": [
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"!pip install --upgrade google-api-python-client google-auth-httplib2 google-auth-oauthlib"
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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(\n",
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" folder_id=\"1yucgL9WGgWZdM1TOuKkeghlPizuzMYb5\",\n",
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" # Optional: configure whether to recursively fetch files from subfolders. Defaults to False.\n",
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" recursive=False,\n",
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")"
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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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"cell_type": "markdown",
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"id": "2721ba8a",
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"metadata": {},
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"source": [
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"When you pass a `folder_id` by default all files of type document, sheet and pdf are loaded. You can modify this behaviour by passing a `file_types` argument "
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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": "2ff83b4c",
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"metadata": {},
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"outputs": [],
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"source": [
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"loader = GoogleDriveLoader(\n",
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" folder_id=\"1yucgL9WGgWZdM1TOuKkeghlPizuzMYb5\",\n",
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" file_types=[\"document\", \"sheet\"]\n",
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" recursive=False\n",
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")"
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]
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},
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{
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"cell_type": "markdown",
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"id": "d6b80931",
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"metadata": {},
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"source": [
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"## Passing in Optional File Loaders\n",
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"\n",
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"When processing files other than Google Docs and Google Sheets, it can be helpful to pass an optional file loader to `GoogleDriveLoader`. If you pass in a file loader, that file loader will be used on documents that do not have a Google Docs or Google Sheets MIME type. Here is an example of how to load an Excel document from Google Drive using a file loader. "
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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": "94207e39",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain.document_loaders import GoogleDriveLoader\n",
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"from langchain.document_loaders import UnstructuredFileIOLoader"
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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": "a15fbee0",
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"metadata": {},
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"outputs": [],
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"source": [
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"file_id = \"1x9WBtFPWMEAdjcJzPScRsjpjQvpSo_kz\"\n",
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"loader = GoogleDriveLoader(\n",
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" file_ids=[file_id],\n",
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" file_loader_cls=UnstructuredFileIOLoader,\n",
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" file_loader_kwargs={\"mode\": \"elements\"},\n",
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")"
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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": "98410bda",
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"metadata": {},
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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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"cell_type": "code",
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"execution_count": 4,
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"id": "e3e72221",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"Document(page_content='\\n \\n \\n Team\\n Location\\n Stanley Cups\\n \\n \\n Blues\\n STL\\n 1\\n \\n \\n Flyers\\n PHI\\n 2\\n \\n \\n Maple Leafs\\n TOR\\n 13\\n \\n \\n', metadata={'filetype': 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet', 'page_number': 1, 'page_name': 'Stanley Cups', 'text_as_html': '<table border=\"1\" class=\"dataframe\">\\n <tbody>\\n <tr>\\n <td>Team</td>\\n <td>Location</td>\\n <td>Stanley Cups</td>\\n </tr>\\n <tr>\\n <td>Blues</td>\\n <td>STL</td>\\n <td>1</td>\\n </tr>\\n <tr>\\n <td>Flyers</td>\\n <td>PHI</td>\\n <td>2</td>\\n </tr>\\n <tr>\\n <td>Maple Leafs</td>\\n <td>TOR</td>\\n <td>13</td>\\n </tr>\\n </tbody>\\n</table>', 'category': 'Table', 'source': 'https://drive.google.com/file/d/1aA6L2AR3g0CR-PW03HEZZo4NaVlKpaP7/view'})"
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]
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},
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"docs[0]"
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]
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},
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{
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"cell_type": "markdown",
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"id": "238cd06f",
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"metadata": {},
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"source": [
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"You can also process a folder with a mix of files and Google Docs/Sheets using the following pattern:"
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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": 5,
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"id": "0e2d093f",
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"metadata": {},
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"outputs": [],
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"source": [
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"folder_id = \"1asMOHY1BqBS84JcRbOag5LOJac74gpmD\"\n",
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"loader = GoogleDriveLoader(\n",
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" folder_id=folder_id,\n",
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" file_loader_cls=UnstructuredFileIOLoader,\n",
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" file_loader_kwargs={\"mode\": \"elements\"},\n",
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")"
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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": 6,
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"id": "b35ddcc6",
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"metadata": {},
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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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"cell_type": "code",
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"execution_count": 7,
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"id": "3cc141e0",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"Document(page_content='\\n \\n \\n Team\\n Location\\n Stanley Cups\\n \\n \\n Blues\\n STL\\n 1\\n \\n \\n Flyers\\n PHI\\n 2\\n \\n \\n Maple Leafs\\n TOR\\n 13\\n \\n \\n', metadata={'filetype': 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet', 'page_number': 1, 'page_name': 'Stanley Cups', 'text_as_html': '<table border=\"1\" class=\"dataframe\">\\n <tbody>\\n <tr>\\n <td>Team</td>\\n <td>Location</td>\\n <td>Stanley Cups</td>\\n </tr>\\n <tr>\\n <td>Blues</td>\\n <td>STL</td>\\n <td>1</td>\\n </tr>\\n <tr>\\n <td>Flyers</td>\\n <td>PHI</td>\\n <td>2</td>\\n </tr>\\n <tr>\\n <td>Maple Leafs</td>\\n <td>TOR</td>\\n <td>13</td>\\n </tr>\\n </tbody>\\n</table>', 'category': 'Table', 'source': 'https://drive.google.com/file/d/1aA6L2AR3g0CR-PW03HEZZo4NaVlKpaP7/view'})"
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]
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},
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"docs[0]"
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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": "e312268a",
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"metadata": {},
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"outputs": [],
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"source": []
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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": "3.8.13"
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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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