Update app.py
Browse files
app.py
CHANGED
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@@ -23,7 +23,6 @@ from langchain.schema import (
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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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@@ -39,14 +38,14 @@ 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 =
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partial_message = ""
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for chunk in response:
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@@ -58,7 +57,7 @@ async def predict(message, history):
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langchain.llm_cache = InMemoryCache()
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gr.ChatInterface(predict,
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textbox=gr.Textbox(placeholder="请
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title="欢迎使用ANSYS软件AI机器人",
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examples=["你是谁?", "请介绍一下Fluent 软件", "create-bounding-box","ANSYS Fluent Architecture","ANSYS Fluent 的软件架构是怎么样的"],
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description="
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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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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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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 = 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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langchain.llm_cache = InMemoryCache()
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gr.ChatInterface(predict,
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textbox=gr.Textbox(placeholder="请提问关于ANSYS软件的问题", container=False, scale=7),
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title="欢迎使用ANSYS软件AI机器人",
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examples=["你是谁?", "请介绍一下Fluent 软件", "create-bounding-box","ANSYS Fluent Architecture","ANSYS Fluent 的软件架构是怎么样的"],
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description="请避免输入有违公序良俗的问题,模型可能无法回答不合适的问题🐇",).queue().launch(debug=True)
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