Let's try this?

app.py

@@ -1802,7 +1802,8 @@ if selected_tab == 'Manage Portfolio':
                 st.session_state['working_frame']['Size'] = st.session_state['working_frame'].index.map(st.session_state['size_dict'])
             
             st.session_state['base_frame'] = predict_dupes(st.session_state['working_frame'], st.session_state['map_dict'], site_var, type_var, Contest_Size, strength_var, sport_var, salary_max)
-            st.session_state[base_frame_names]['Default'] = st.session_state['base_frame']
+            st.session_state['base_frame_names']['Default'] = st.session_state['base_frame']
+            st.session_state['working_frame'] = st.session_state['base_frame_names']['Default']
             # st.session_state['highest_owned_teams'] = st.session_state['projections_df'][~st.session_state['projections_df']['position'].isin(['P', 'SP'])].groupby('team')['ownership'].sum().sort_values(ascending=False).head(3).index.tolist()
             # st.session_state['highest_owned_pitchers'] = st.session_state['projections_df'][st.session_state['projections_df']['position'].isin(['P', 'SP'])]['player_names'].sort_values(by='ownership', ascending=False).head(3).tolist()