Upload app.py with huggingface_hub

app.py

@@ -158,9 +158,11 @@ def expand_query(state):
 # Initialize the Chroma vector store for retrieving documents
 vector_store = Chroma(
     collection_name="nutritional_hypotheticals",
-    persist_directory="./nutritional_db2",
+    persist_directory="./nutritional_db",
+    #persist_directory="./nutritional_db2",
     embedding_function=embedding_model
 )
+print("vector_store initialized...")
 
 # Create a retriever from the vector store
 retriever = vector_store.as_retriever(