Update app.py

app.py

@@ -28,9 +28,6 @@ import langchain
 import os
 OPENAI_API_KEY=os.getenv('OPENAI_API_KEY')
 
-
-
-
 # 嵌入模型
 #embeddings = OpenAIEmbeddings()
 embeddings = HuggingFaceEmbeddings(model_name="BAAI/bge-large-en")
@@ -38,27 +35,17 @@ embeddings = HuggingFaceEmbeddings(model_name="BAAI/bge-large-en")
 # 加载数据
 #docsearch = FAISS.from_texts(texts, embeddings)
 docsearch = FAISS.load_local("./faiss_index", embeddings)
-
-#chain = load_qa_chain(OpenAI(temperature=0,model_name="gpt-3.5-turbo",prompt=chat_prompt), chain_type="stuff",verbose=True)
-
-
-
 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"
-
 chain = load_qa_chain(OpenAI(temperature=0,model_name="gpt-3.5-turbo"), chain_type="stuff",verbose=True)
-
-
 def predict(message, history):
     history_langchain_format = []
-    for system,human, ai in history:
-        history_langchain_format.append(SystemMessage(content=system))
+    for human, ai in history:
         history_langchain_format.append(HumanMessage(content=human))
         history_langchain_format.append(AIMessage(content=ai))
     history_langchain_format.append(HumanMessage(content=message))
     docs = docsearch.similarity_search(message)
-    response = chain.run(input_documents=docs, question=message+template)
-   
-    
+    response = chain.run(input_documents=docs, question=message + template)
+       
     partial_message = ""
     for chunk in response:
         if len(chunk[0]) != 0: