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68 lines
1.3 KiB
Plaintext
68 lines
1.3 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "6ad0a850",
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd"
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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": "3d4f1bdd",
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"metadata": {},
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"outputs": [],
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"source": [
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"df = pd.read_csv(\"example_data/fake_discord_chat.csv\")\n",
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"df.head()"
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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": "82880d80",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain.document_loaders.discord import DiscordChatLoader"
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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": "b825a8d3",
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"metadata": {},
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"outputs": [],
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"source": [
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"loader = DiscordChatLoader(df, user_id_col=\"user_id\")\n",
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"print(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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