war

app.py

@@ -1,6 +1,6 @@
 import streamlit as st
 from langchain_community.llms import HuggingFaceHub
-from langchain.embeddings import SentenceTransformerEmbeddings
+from langchain_community.embeddings import SentenceTransformerEmbeddings
 from langchain.vectorstores import FAISS
 
 # 1. 初始化 Gemma 模型
@@ -40,7 +40,7 @@ def answer_question(question):
         prompt = f"请根据以下知识库回答问题：\n{context}\n问题：{question}"
         print(prompt)
 
-        answer = llm(prompt)
+        answer = "123" #llm(prompt)
         return answer
     except Exception as e:
         st.error(f"问答过程出错：{e}")