Add application.py to implement Streamlit app for player analysis and portfolio management, including data loading, name matching, and exposure management features.

app.py → application.py

@@ -1437,7 +1437,7 @@ with tab2:
                         st.session_state['export_merge'] = st.session_state['working_frame'].copy()
                     elif exp_submitted:
                         st.session_state['settings_base'] = False
-                        parsed_frame = exposure_spread(st.session_state['export_base'], st.session_state['exposure_player'], exposure_target, exposure_stack_bool, remove_teams_exposure, st.session_state['projections_df'], sport_var, type_var, salary_max)
+                        parsed_frame = exposure_spread(st.session_state['working_frame'], st.session_state['exposure_player'], exposure_target, exposure_stack_bool, remove_teams_exposure, st.session_state['projections_df'], sport_var, type_var, salary_max)
                         
                         if type_var == 'Classic':
                             if sport_var == 'CS2' or sport_var == 'LOL':