Update app.py
Browse files
app.py
CHANGED
@@ -23,6 +23,7 @@ from langchain.schema import (
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SystemMessage
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)
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import time
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import langchain
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import os
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@@ -37,14 +38,15 @@ embeddings = HuggingFaceEmbeddings(model_name="BAAI/bge-large-en")
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docsearch = FAISS.load_local("./faiss_index", embeddings)
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template="您是回答ANSYS软件使用查询的得力助手,所有回复必需用中文"
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chain = load_qa_chain(OpenAI(temperature=0,model_name="gpt-3.5-turbo"), chain_type="stuff",verbose=True)
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-
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history_langchain_format = []
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for human, ai in history:
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history_langchain_format.append(HumanMessage(content=human))
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history_langchain_format.append(AIMessage(content=ai))
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history_langchain_format.append(HumanMessage(content=en_message))
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docs = docsearch.similarity_search(message)
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response = chain.run(input_documents=docs, question=message + template)
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partial_message = ""
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for chunk in response:
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SystemMessage
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)
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import asyncio
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import time
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import langchain
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import os
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docsearch = FAISS.load_local("./faiss_index", embeddings)
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template="您是回答ANSYS软件使用查询的得力助手,所有回复必需用中文"
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chain = load_qa_chain(OpenAI(temperature=0,model_name="gpt-3.5-turbo"), chain_type="stuff",verbose=True)
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+
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async def predict(message, history):
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history_langchain_format = []
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for human, ai in history:
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history_langchain_format.append(HumanMessage(content=human))
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history_langchain_format.append(AIMessage(content=ai))
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history_langchain_format.append(HumanMessage(content=en_message))
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docs = docsearch.similarity_search(message)
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response = await chain.run(input_documents=docs, question=message + template)
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partial_message = ""
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for chunk in response:
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