Update app.py

app.py

@@ -186,8 +186,18 @@ def get_text_splitter(split_strategy, chunk_size, overlap_size, custom_separator
     else:
         raise ValueError(f"Unsupported split strategy: {split_strategy}")
 
-@lru_cache(maxsize=None)
 def get_vector_store(vector_store_type, chunks, embedding_model):
+    # Convert chunks to a tuple to make it hashable
+    chunks_tuple = tuple(chunks)
+    
+    # Use a helper function for the actual vector store creation
+    return _create_vector_store(vector_store_type, chunks_tuple, embedding_model)
+
+@lru_cache(maxsize=None)
+def _create_vector_store(vector_store_type, chunks_tuple, embedding_model):
+    # Convert the tuple back to a list for use with the vector store
+    chunks = list(chunks_tuple)
+    
     if vector_store_type == 'FAISS':
         return FAISS.from_texts(chunks, embedding_model)
     elif vector_store_type == 'Chroma':
@@ -195,6 +205,7 @@ def get_vector_store(vector_store_type, chunks, embedding_model):
     else:
         raise ValueError(f"Unsupported vector store type: {vector_store_type}")
 
+        
 def get_retriever(vector_store, search_type, search_kwargs):
     if search_type == 'similarity':
         return vector_store.as_retriever(search_type="similarity", search_kwargs=search_kwargs)