def summarize_pdfs_from_folder(pdfs_folder): summaries = [] for pdf_file in glob.glob(pdfs_folder + "/*.pdf"): loader = PyPDFLoader(pdf_file) docs = loader.load_and_split() chain = load_summarize_chain(llm, chain_type="map_reduce") summary = chain.run(docs)...
chain = load_summarize_chain(llm, chain_type="map_reduce") summary = chain.run(docs) print("Summary for: ", pdf_file) print(summary) print("\n") summaries.append(summary) return summaries 将摘要保存为文本文件: with open("summaries.txt", "w") as f: for summary in summaries: f.writ...
chain = load_summarize_chain(llm, chain_type="map_reduce") summary = chain.run(docs) print("Summary for: ", pdf_file) print(summary) print("\n") summaries.append(summary) return summaries 将摘要保存为文本文件: with open("summaries.txt", "w") as f: for summary in summaries: f.writ...
loader = PyPDFLoader(pdf_file) docs = loader.load_and_split() chain = load_summarize_chain(llm, chain_type="map_reduce") summary = chain.run(docs) print("Summary for: ", pdf_file) print(summary) print("n") summaries.append(summary) returnsummaries 将摘要保存为文本文件: withopen("sum...
chain =load_summarize_chain(llm, chain_type="map_reduce") summary = chain.run(docs)print("Summary for: ", pdf_file)print(summary)print("\n") summaries.append(summary) return summaries 将摘要保存为文本文件: withopen("summaries.txt","w")asf:forsummaryinsummaries: ...
summaries"开始。其目的是接受一个文档列表，将其组合为一个字符串，并将这个组合字符串传递给reduce_...
def _load_map_reduce_chain( llm: BaseLanguageModel, question_prompt: Optional[BasePromptTemplate] = None, combine_prompt: Optional[BasePromptTemplate] = None, combine_document_variable_name: str = "summaries", map_reduce_document_variable_name: str = "context", ...
1.3.1.3 ReduceDocumentsChain 有了上面分块的总结,下面的步骤就是根据分块总结合并成一条完整的总结。在LangChain中可以使用ReduceDocumentsChain类来实现此步骤。 # Reducereduce_template = """The following is set of summaries:{docs}Take these and distill it into a final, consolidated summary of the mai...
# 设置 lang chain# 使用 map_reduce的chain_type，这样可以将多个文档合并成一个chain=load_summarize_...
load_and_split() chain = load_summarize_chain(llm, chain_type="map_reduce") summary = chain.run(docs) print("Summary for: ", pdf_file) print(summary) print("\n") summaries.append(summary) return summaries 将摘要保存为文本文件: 代码语言:javascript 复制 with open("summaries.txt", "w"...