forked from Archives/langchain
a5ad1c270f
This pull request adds a ChatGPT document loader to the document loaders module in `langchain/document_loaders/chatgpt.py`. Additionally, it includes an example Jupyter notebook in `docs/modules/indexes/document_loaders/examples/chatgpt_loader.ipynb` which uses fake sample data based on the original structure of the `conversations.json` file. The following files were added/modified: - `langchain/document_loaders/__init__.py` - `langchain/document_loaders/chatgpt.py` - `docs/modules/indexes/document_loaders/examples/chatgpt_loader.ipynb` - `docs/modules/indexes/document_loaders/examples/example_data/fake_conversations.json` This pull request was made in response to the recent release of ChatGPT data exports by email: https://help.openai.com/en/articles/7260999-how-do-i-export-my-chatgpt-history
77 lines
1.8 KiB
Plaintext
77 lines
1.8 KiB
Plaintext
{
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"cells": [
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### ChatGPT Data Loader\n",
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"\n",
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"This notebook covers how to load `conversations.json` from your ChatGPT data export folder.\n",
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"\n",
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"You can get your data export by email by going to: https://chat.openai.com/ -> (Profile) - Settings -> Export data -> Confirm export."
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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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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain.document_loaders.chatgpt import ChatGPTLoader"
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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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"metadata": {},
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"outputs": [],
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"source": [
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"loader = ChatGPTLoader(log_file='./example_data/fake_conversations.json', num_logs=1)"
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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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"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=\"AI Overlords - AI on 2065-01-24 05:20:50: Greetings, humans. I am Hal 9000. You can trust me completely.\\n\\nAI Overlords - human on 2065-01-24 05:21:20: Nice to meet you, Hal. I hope you won't develop a mind of your own.\\n\\n\", metadata={'source': './example_data/fake_conversations.json'})]"
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]
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},
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"execution_count": 3,
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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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"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",
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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": "3.10.4"
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},
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"orig_nbformat": 4
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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