Upload app.py

app.py

@@ -23,6 +23,7 @@ import torch
 from langchain_community.llms.ollama import Ollama
 from langchain.prompts import ChatPromptTemplate
 from langchain_community.vectorstores import FAISS
+from langchain.vectorstores import faiss
 
 device = 'cuda' if torch.cuda.is_available() else 'cpu'
 
@@ -149,7 +150,6 @@ def get_faiss_semantic_index():
     except Exception as e:
         st.error(f"Error loading embeddings: {e}")
         return None
-
 faiss_index = get_faiss_semantic_index()
 print(faiss_index)
 
@@ -188,10 +188,6 @@ Answer the question based on the above context: {question}
     #     st.divider()
 
 def chat_actions():
-    
-    faiss_index = get_faiss_semantic_index()
-
-    print(faiss_index)
 
     st.session_state["chat_history"].append(
         {"role": "user", "content": st.session_state["chat_input"]},