Enhance app.py to calculate 'salary' for CPT projections in NFL. Added a new calculation for 'salary' by dividing 'Salary' by 1.5, improving the accuracy of player salary projections based on sport selection.

app.py

@@ -239,6 +239,7 @@ with tab2:
             export_baselines['CPT_Salary'] = export_baselines['Salary'] * 1.5
         elif sport_var1 == 'NFL':
             export_baselines['CPT_Salary'] = export_baselines['Salary']
+            export_baselines['salary'] = export_baselines['Salary'] / 1.5
         export_baselines['ID'] = export_baselines['player_id']
         display_baselines = ownframe[['Player', 'Salary', 'Position', 'Team', 'Opp', 'Median', 'Own', 'CPT_Own']]
         display_baselines = display_baselines.sort_values(by='Median', ascending=False)