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…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 ```
2.6 KiB
2.6 KiB
In [3]:
with open("../docs/docs/modules/state_of_the_union.txt") as f:
state_of_the_union = f.read()In [7]:
from langchain.chains import AnalyzeDocumentChain
from langchain_community.chat_models import ChatOpenAI
llm = ChatOpenAI(model="gpt-3.5-turbo", temperature=0)In [8]:
from langchain.chains.question_answering import load_qa_chain
qa_chain = load_qa_chain(llm, chain_type="map_reduce")In [9]:
qa_document_chain = AnalyzeDocumentChain(combine_docs_chain=qa_chain)In [10]:
qa_document_chain.run(
input_document=state_of_the_union,
question="what did the president say about justice breyer?",
)Out [10]:
'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."'