Refactor portfolio storage in app.py to filter by salary cap before saving to compressed format. This change optimizes memory usage and ensures only eligible entries are retained.

app.py

@@ -777,7 +777,7 @@ if selected_tab == 'Data Load':
                 st.session_state['map_dict'] = create_memory_efficient_mappings(st.session_state['projections_df'], site_var, type_var, sport_var)
             
             # Store portfolio in compressed format and clean up
-            # st.session_state['origin_portfolio'] = st.session_state['portfolio']
+            st.session_state['portfolio'] = st.session_state['portfolio'][st.session_state['portfolio']['salary'] <= salary_max]
             buffer = io.BytesIO()
             st.session_state['portfolio'].to_parquet(buffer, compression='snappy')
             st.session_state['origin_portfolio'] = buffer.getvalue()