使用 LangChain load_summarize_chain 对文档进行总结

import ChatGLM
from langchain.chains import LLMChain
from langchain_core.output_parsers import StrOutputParser
from langchain_core.prompts import ChatPromptTemplate
from langchain.chains import SimpleSequentialChain

from operator import itemgetter
from langchain_community.document_loaders import PyPDFLoader
import ChatGLM



from langchain_community.tools.tavily_search import TavilySearchResults
from langchain.chains import LLMMathChain


from langchain_community.document_loaders import TextLoader
from langchain.text_splitter import CharacterTextSplitter
from langchain_community.vectorstores import Chroma


from langchain_core.runnables import RunnableParallel, RunnablePassthrough
from langchain_community.embeddings import JinaEmbeddings
from langchain.chains.combine_documents import create_stuff_documents_chain
from langchain.chains import create_retrieval_chain
from langchain.chains.summarize import load_summarize_chain
from langchain_community.document_loaders import WebBaseLoader

llm = ChatGLM.ChatGLM_LLM()
loader = WebBaseLoader("https://www.163.com/dy/article/IQ6PGRNT0514BQ68.html")
documents = loader.load()
chain = load_summarize_chain(llm, chain_type="stuff")
print(chain.run(documents))