Update app.py

app.py

@@ -19,7 +19,7 @@ from langchain.schema import AIMessage, HumanMessage, SystemMessage
 embeddings = OpenAIEmbeddings()
 
 # Loads database from persisted directory
-db_directory = "./docs/2023_12_05_chroma_db_v2"
+db_directory = "./docs/2023_12_19_chroma_db"
 db = Chroma(persist_directory=db_directory, embedding_function=embeddings)
 
 # This is code that retrieves relevant documents based on a similarity search (in this case, it grabs the top 2 relevant documents or chunks)