Update question.py

question.py

@@ -74,8 +74,8 @@ def chat_with_doc(model, vector_store: SupabaseVectorStore, stats_db):
                     huggingfacehub_api_token=hf_api_key,
                     model_kwargs=model_kwargs
                 )
-                qa = ConversationalRetrievalChain.from_llm(hf, retriever=vector_store.as_retriever(search_kwargs={"score_threshold": 0.6, "k": 4,"filter": {"user": st.session_state["username"]}})), memory=memory, verbose=True, return_source_documents=True)
-            
+                qa = ConversationalRetrievalChain.from_llm(hf, retriever=vector_store.as_retriever(search_kwargs={"score_threshold": 0.6, "k": 4,"filter": {"user": st.session_state["username"]}}), memory=memory, verbose=True, return_source_documents=True)
+
             st.session_state['chat_history'].append(("You", question))
 
             # Generate model's response and add it to chat history