Update app.py

app.py

@@ -35,7 +35,8 @@ def get_text_chunks(text):
 # Creates and saves a FAISS vector store from text chunks
 def get_vector_store(text_chunks):
     embeddings = GoogleGenerativeAIEmbeddings(model="models/embedding-001")
-    vector_store = FAISS.from_texts(text_chunks, embedding=embeddings, allow_dangerous_deserialization=True)
+    FAISS.deserialize_from_bytes(serialized_data, embeddings, allow_dangerous_deserialization=True)
+    vector_store = FAISS.from_texts(text_chunks, embedding=embeddings)
     vector_store.save_local("faiss_index")
 
 # Creates and returns a conversational chain for question answering