Add data load tab functions to app.py and adjust GOLF flex rank calculation in predict_dupes.py for accurate portfolio predictions.

app.py

@@ -1312,6 +1312,8 @@ except:
     key='tab_selector'
     )
 
+# Data Load Tab Functions
+# Necessary starting page and UI
 if selected_tab == 'Data Load':
     col1, col2, col3 = st.columns(3)
 

global_func/predict_dupes.py

@@ -189,7 +189,8 @@ def predict_dupes(portfolio, maps_dict, site_var, type_var, Contest_Size, streng
         
         # Assign ranks back to individual columns using the same rank scale
         if sport_var == 'GOLF':
-            flex_ranks = calculate_flex_ranks_efficient(portfolio, 1, 7, maps_dict)
+            # GOLF Showdown has no CPT - all 6 positions are FLEX in columns 0-5
+            flex_ranks = calculate_flex_ranks_efficient(portfolio, 0, 6, maps_dict)
 
             portfolio['FLEX1_Own_percent_rank'] = flex_ranks[0]
             portfolio['FLEX2_Own_percent_rank'] = flex_ranks[1]