mirror of
https://github.com/hwchase17/langchain.git
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fa5d49f2c1
ran ```bash g grep -l "langchain.vectorstores" | xargs -L 1 sed -i '' "s/langchain\.vectorstores/langchain_community.vectorstores/g" g grep -l "langchain.document_loaders" | xargs -L 1 sed -i '' "s/langchain\.document_loaders/langchain_community.document_loaders/g" g grep -l "langchain.chat_loaders" | xargs -L 1 sed -i '' "s/langchain\.chat_loaders/langchain_community.chat_loaders/g" g grep -l "langchain.document_transformers" | xargs -L 1 sed -i '' "s/langchain\.document_transformers/langchain_community.document_transformers/g" g grep -l "langchain\.graphs" | xargs -L 1 sed -i '' "s/langchain\.graphs/langchain_community.graphs/g" g grep -l "langchain\.memory\.chat_message_histories" | xargs -L 1 sed -i '' "s/langchain\.memory\.chat_message_histories/langchain_community.chat_message_histories/g" gco master libs/langchain/tests/unit_tests/*/test_imports.py gco master libs/langchain/tests/unit_tests/**/test_public_api.py ```
83 lines
2.3 KiB
Plaintext
83 lines
2.3 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "1dc7df1d",
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"metadata": {},
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"source": [
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"# Slack\n",
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"\n",
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">[Slack](https://slack.com/) is an instant messaging program.\n",
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"\n",
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"This notebook covers how to load documents from a Zipfile generated from a `Slack` export.\n",
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"\n",
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"In order to get this `Slack` export, follow these instructions:\n",
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"\n",
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"## 🧑 Instructions for ingesting your own dataset\n",
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"\n",
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"Export your Slack data. You can do this by going to your Workspace Management page and clicking the Import/Export option ({your_slack_domain}.slack.com/services/export). Then, choose the right date range and click `Start export`. Slack will send you an email and a DM when the export is ready.\n",
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"\n",
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"The download will produce a `.zip` file in your Downloads folder (or wherever your downloads can be found, depending on your OS configuration).\n",
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"\n",
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"Copy the path to the `.zip` file, and assign it as `LOCAL_ZIPFILE` below."
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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": "007c5cbf",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain_community.document_loaders import SlackDirectoryLoader"
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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": "a1caec59",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Optionally set your Slack URL. This will give you proper URLs in the docs sources.\n",
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"SLACK_WORKSPACE_URL = \"https://xxx.slack.com\"\n",
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"LOCAL_ZIPFILE = \"\" # Paste the local paty to your Slack zip file here.\n",
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"\n",
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"loader = SlackDirectoryLoader(LOCAL_ZIPFILE, SLACK_WORKSPACE_URL)"
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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": "b1c30ff7",
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"metadata": {},
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"outputs": [],
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"source": [
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"docs = loader.load()\n",
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"docs"
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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": "3.10.6"
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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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