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guangliang.yin
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944d0e1
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Parent(s):
3de91d2
优化代码逻辑 准备自定义提示词
Browse files- app.py +31 -7
- project/prompt/answer_by_private_prompt.py +31 -0
app.py
CHANGED
@@ -12,7 +12,11 @@ from project.prompt.answer_by_private_prompt import (
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COMBINE_PROMPT,
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EXAMPLE_PROMPT,
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QUESTION_PROMPT,
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)
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chain: Optional[Callable] = None
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@@ -54,13 +58,33 @@ def web_loader(file, openai_key, puzhiai_key, zilliz_uri, user, password):
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# retriever=docsearch.as_retriever(),
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#)
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chain = RetrievalQAWithSourcesChain.from_llm(
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)
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return "success to load data"
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@@ -81,7 +105,7 @@ if __name__ == "__main__":
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"""
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<h1><center>Langchain And Zilliz App</center></h1>
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-
v.2.27.
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"""
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)
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COMBINE_PROMPT,
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EXAMPLE_PROMPT,
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QUESTION_PROMPT,
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DEFAULT_TEXT_QA_PROMPT,
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DEFAULT_REFINE_PROMPT
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)
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from langchain.chains.combine_documents.refine import RefineDocumentsChain
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from langchain.chains.llm import LLMChain
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chain: Optional[Callable] = None
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# retriever=docsearch.as_retriever(),
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#)
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#chain = RetrievalQAWithSourcesChain.from_llm(
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# ZhipuAILLM(model="glm-3-turbo", temperature=0.1, zhipuai_api_key=puzhiai_key),
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# EXAMPLE_PROMPT,
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# QUESTION_PROMPT,
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# COMBINE_PROMPT,
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# retriever=docsearch.as_retriever(),
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#)
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llm = ZhipuAILLM(model="glm-3-turbo", temperature=0.1, zhipuai_api_key=puzhiai_key)
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question_prompt = DEFAULT_TEXT_QA_PROMPT,
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refine_prompt = DEFAULT_REFINE_PROMPT,
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document_prompt = EXAMPLE_PROMPT,
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verbose = Optional[bool] = None,
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initial_chain = LLMChain(llm=llm, prompt=question_prompt, verbose=verbose)
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_refine_llm = llm
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refine_chain = LLMChain(llm=_refine_llm, prompt=refine_prompt, verbose=verbose)
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combine_documents_chain = RefineDocumentsChain(
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initial_llm_chain=initial_chain,
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refine_llm_chain=refine_chain,
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document_variable_name="context_str",
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initial_response_name="existing_answer",
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document_prompt=document_prompt,
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verbose=verbose,
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)
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chain = RetrievalQAWithSourcesChain(combine_documents_chain=combine_documents_chain)
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return "success to load data"
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"""
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<h1><center>Langchain And Zilliz App</center></h1>
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v.2.27.14.31
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"""
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)
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project/prompt/answer_by_private_prompt.py
CHANGED
@@ -25,4 +25,35 @@ COMBINE_PROMPT = PromptTemplate(
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EXAMPLE_PROMPT = PromptTemplate(
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template="Content: {page_content}\nSource: {source}",
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input_variables=["page_content", "source"],
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)
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EXAMPLE_PROMPT = PromptTemplate(
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template="Content: {page_content}\nSource: {source}",
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input_variables=["page_content", "source"],
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)
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DEFAULT_REFINE_PROMPT_TMPL = (
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"The original question is as follows: {question}\n"
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"We have provided an existing answer, including sources: {existing_answer}\n"
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"We have the opportunity to refine the existing answer"
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"(only if needed) with some more context below.\n"
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"------------\n"
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"{context_str}\n"
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"------------\n"
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"Given the new context, refine the original answer to better "
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"answer the question. "
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"If you do update it, please update the sources as well. "
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"If the context isn't useful, return the original answer."
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)
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DEFAULT_REFINE_PROMPT = PromptTemplate(
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input_variables=["question", "existing_answer", "context_str"],
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template=DEFAULT_REFINE_PROMPT_TMPL,
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)
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DEFAULT_TEXT_QA_PROMPT_TMPL = (
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"Context information is below. \n"
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"---------------------\n"
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"{context_str}"
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"\n---------------------\n"
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"Given the context information and not prior knowledge, "
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"answer the question: {question}\n"
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)
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DEFAULT_TEXT_QA_PROMPT = PromptTemplate(
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input_variables=["context_str", "question"], template=DEFAULT_TEXT_QA_PROMPT_TMPL
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)
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