Update app.py

app.py

@@ -43,9 +43,8 @@ st.markdown(f"Number of chunked texts: {len(chunked_text)}")
 
 embedding_model = HuggingFaceInstructEmbeddings(model_name='hkunlp/instructor-base',
                                                 model_kwargs = {'device': torch.device('cuda' if torch.cuda.is_available() else 'cpu')})
-persist_directory = 'db_chunk_500'
+
 db_chunk_500 = Chroma.from_documents(documents= chunked_text,
-                           embedding= embedding_model,
-                           persist_directory=persist_directory)
+                           embedding= embedding_model)
 
 print("load done")