Enhance salary data processing in app.py: add a try-except block to convert salary values to integers after removing unwanted characters, improving data integrity during projections file handling.

app.py

@@ -140,6 +140,10 @@ with tab1:
             if projections is not None:
                 st.success('Projections file loaded successfully!')
                 projections = projections.apply(lambda x: x.replace(player_wrong_names_mlb, player_right_names_mlb))
+                try:
+                    projections['salary'] = projections['salary'].astype(str).str.replace([',', '$', ' '], '', regex=True).astype(int)
+                except:
+                    pass
                 st.dataframe(projections.head(10))
 
     if portfolio_file and projections_file: