Enhance data filtering in hitter tab of Streamlit app

- Added filtering for the 'Set' column to ensure data consistency based on user selection.
- Removed unnecessary columns from the displayed data, streamlining the information presented to users and improving clarity.

src/streamlit_app.py

@@ -204,6 +204,8 @@ with hitter_tab:
         if position_var_hitter:
             position_mask = disp_raw['Position'].apply(lambda x: any(pos in x for pos in position_var_hitter))
             disp_raw = disp_raw[position_mask]
+        
+        disp_raw = disp_raw[disp_raw['Set'] == site_var_hitter]
 
     elif table_var_hitter == 'Active Baselines':
         disp_raw = hitter_info
@@ -214,6 +216,8 @@ with hitter_tab:
         if position_var_hitter:
             position_mask = disp_raw['Position'].apply(lambda x: any(pos in x for pos in position_var_hitter))
             disp_raw = disp_raw[position_mask]
+        
+        disp_raw = disp_raw.drop(columns = ['DK_SD_Salary', 'FD_SD_Salary', 'DK_Own', 'FD_Own', 'DK_player_ID', 'FD_player_ID', 'Opp_TT'])
 
     elif table_var_hitter == 'League Aggregate Baselines':
         disp_raw = hitter_agg