mirror of
https://github.com/hwchase17/langchain
synced 2024-11-18 09:25:54 +00:00
480626dc99
…tch]: import models from community ran ```bash git grep -l 'from langchain\.chat_models' | xargs -L 1 sed -i '' "s/from\ langchain\.chat_models/from\ langchain_community.chat_models/g" git grep -l 'from langchain\.llms' | xargs -L 1 sed -i '' "s/from\ langchain\.llms/from\ langchain_community.llms/g" git grep -l 'from langchain\.embeddings' | xargs -L 1 sed -i '' "s/from\ langchain\.embeddings/from\ langchain_community.embeddings/g" git checkout master libs/langchain/tests/unit_tests/llms git checkout master libs/langchain/tests/unit_tests/chat_models git checkout master libs/langchain/tests/unit_tests/embeddings/test_imports.py make format cd libs/langchain; make format cd ../experimental; make format cd ../core; make format ```
106 lines
2.6 KiB
Plaintext
106 lines
2.6 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "f69d4a4c-137d-47e9-bea1-786afce9c1c0",
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"metadata": {},
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"source": [
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"# Analyze a single long document\n",
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"\n",
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"The AnalyzeDocumentChain takes in a single document, splits it up, and then runs it through a CombineDocumentsChain."
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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": "2a0707ce-6d2d-471b-bc33-64da32a7b3f0",
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"metadata": {},
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"outputs": [],
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"source": [
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"with open(\"../docs/docs/modules/state_of_the_union.txt\") as f:\n",
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" state_of_the_union = f.read()"
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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": "ca14d161-2d5b-4a6c-a296-77d8ce4b28cd",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain.chains import AnalyzeDocumentChain\n",
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"from langchain_community.chat_models import ChatOpenAI\n",
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"\n",
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"llm = ChatOpenAI(model=\"gpt-3.5-turbo\", temperature=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": 8,
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"id": "9f97406c-85a9-45fb-99ce-9138c0ba3731",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain.chains.question_answering import load_qa_chain\n",
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"\n",
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"qa_chain = load_qa_chain(llm, chain_type=\"map_reduce\")"
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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": 9,
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"id": "0871a753-f5bb-4b4f-a394-f87f2691f659",
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"metadata": {},
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"outputs": [],
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"source": [
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"qa_document_chain = AnalyzeDocumentChain(combine_docs_chain=qa_chain)"
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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": 10,
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"id": "e6f86428-3c2c-46a0-a57c-e22826fdbf91",
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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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"'The President said, \"Tonight, I’d like to honor someone who has dedicated his life to serve this country: Justice Stephen Breyer—an Army veteran, Constitutional scholar, and retiring Justice of the United States Supreme Court. Justice Breyer, thank you for your service.\"'"
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]
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},
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"execution_count": 10,
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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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"qa_document_chain.run(\n",
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" input_document=state_of_the_union,\n",
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" question=\"what did the president say about justice breyer?\",\n",
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")"
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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": "3.9.1"
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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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