Update app.py

app.py

@@ -79,7 +79,7 @@ def query_chromadb():
 #embeddings = OpenAIEmbeddings()
     # Load Vector store from local disk
     vectorstore = Chroma(persist_directory=DB_DIR, embedding_function=embeddings)
-    db2.persist()
+    vectorstore.persist()
 
     result = vectorstore.similarity_search_with_score(query="how to use AI in water conservation?", k=4)