Update app.py

app.py

@@ -28,12 +28,13 @@ client = OpenAI(
 embedding_model_name = 'thenlper/gte-large'
 embedding_model = SentenceTransformerEmbeddings(model_name=embedding_model_name)
 collection_name_qna = 'report_10K_db'
-persisted_vectordb_location = './report_10K_db/report_10K_db'
+persisted_vectordb_location = './report_10K_db'
+
 # Load the persisted vectorDB
 vectorstore_persisted = Chroma(
     collection_name=collection_name_qna,
     persist_directory=persisted_vectordb_location,
-    embedding_function=embedding_model
+    embedding_function='thenlper/gte-large'
 )
 
 # Prepare the logging functionality