mirror of
https://github.com/hwchase17/langchain
synced 2024-11-06 03:20:49 +00:00
87e502c6bc
Co-authored-by: jacoblee93 <jacoblee93@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
71 lines
2.0 KiB
Plaintext
71 lines
2.0 KiB
Plaintext
```python
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with open("../../state_of_the_union.txt") as f:
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state_of_the_union = f.read()
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```
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## Summarize
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Let's take a look at it in action below, using it summarize a long document.
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```python
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from langchain import OpenAI
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from langchain.chains.summarize import load_summarize_chain
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llm = OpenAI(temperature=0)
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summary_chain = load_summarize_chain(llm, chain_type="map_reduce")
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```
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```python
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from langchain.chains import AnalyzeDocumentChain
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```
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```python
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summarize_document_chain = AnalyzeDocumentChain(combine_docs_chain=summary_chain)
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```
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```python
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summarize_document_chain.run(state_of_the_union)
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```
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<CodeOutputBlock lang="python">
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```
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" In this speech, President Biden addresses the American people and the world, discussing the recent aggression of Russia's Vladimir Putin in Ukraine and the US response. He outlines economic sanctions and other measures taken to hold Putin accountable, and announces the US Department of Justice's task force to go after the crimes of Russian oligarchs. He also announces plans to fight inflation and lower costs for families, invest in American manufacturing, and provide military, economic, and humanitarian assistance to Ukraine. He calls for immigration reform, protecting the rights of women, and advancing the rights of LGBTQ+ Americans, and pays tribute to military families. He concludes with optimism for the future of America."
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```
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</CodeOutputBlock>
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## Question Answering
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Let's take a look at this using a question answering chain.
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```python
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from langchain.chains.question_answering import load_qa_chain
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```
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```python
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qa_chain = load_qa_chain(llm, chain_type="map_reduce")
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```
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```python
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qa_document_chain = AnalyzeDocumentChain(combine_docs_chain=qa_chain)
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```
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```python
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qa_document_chain.run(input_document=state_of_the_union, question="what did the president say about justice breyer?")
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```
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<CodeOutputBlock lang="python">
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```
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' The president thanked Justice Breyer for his service.'
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```
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</CodeOutputBlock>
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