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guangliang.yin
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3de91d2
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Parent(s):
08e79a1
提示词改为自定义
Browse files- app.py +16 -3
- project/prompt/__init__.py +0 -0
- project/prompt/answer_by_private_prompt.py +28 -0
app.py
CHANGED
@@ -8,6 +8,11 @@ from langchain.text_splitter import CharacterTextSplitter
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from langchain.chains import RetrievalQAWithSourcesChain
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import uuid
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from project.llm.zhipuai_llm import ZhipuAILLM
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chain: Optional[Callable] = None
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@@ -43,9 +48,17 @@ def web_loader(file, openai_key, puzhiai_key, zilliz_uri, user, password):
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return "docsearch not"
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global chain
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-
chain = RetrievalQAWithSourcesChain.from_chain_type(
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ZhipuAILLM(model="glm-3-turbo", temperature=0.1, zhipuai_api_key=puzhiai_key),
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-
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retriever=docsearch.as_retriever(),
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)
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return "success to load data"
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@@ -68,7 +81,7 @@ 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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from langchain.chains import RetrievalQAWithSourcesChain
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import uuid
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from project.llm.zhipuai_llm import ZhipuAILLM
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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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return "docsearch not"
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global chain
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#chain = RetrievalQAWithSourcesChain.from_chain_type(
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# ZhipuAILLM(model="glm-3-turbo", temperature=0.1, zhipuai_api_key=puzhiai_key),
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# chain_type="refine",
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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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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.2.27.13.58
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"""
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)
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project/prompt/__init__.py
ADDED
File without changes
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project/prompt/answer_by_private_prompt.py
ADDED
@@ -0,0 +1,28 @@
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from langchain_core.prompts import PromptTemplate
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question_prompt_template = """用提供给你的文档去回答问题,不需要编造或者虚构答案,也不需要回答文档之外的内容。
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如果在文档中没有找到相关的答案,那么就直接回答'知识库中没有相关问题解答'
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请用中文回答。
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下边是我给你提供的文档,其中文档格式都是一问一答。问题答案也完全来自所提供的回答:
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{context}
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问题: {question}
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答:"""
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QUESTION_PROMPT = PromptTemplate(
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template=question_prompt_template, input_variables=["context", "question"]
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)
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combine_prompt_template = """
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QUESTION: {question}
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=========
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{summaries}
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=========
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FINAL ANSWER:"""
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COMBINE_PROMPT = PromptTemplate(
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template=combine_prompt_template, input_variables=["summaries", "question"]
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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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