added new structure

util/app.py

@@ -132,7 +132,7 @@ def predict_top_5_champion_w_confidence(player_opgg_url, *champions):
     """Make prediction based on selected champions"""
 
     print("Selected Champions from Dropdowns:", champions)
-    
+
     if not player_opgg_url or None in champions:
         return "Please fill in all fields"
     
@@ -158,6 +158,19 @@ def predict_top_5_champion_w_confidence(player_opgg_url, *champions):
         label_column = training_df['champion']
         predict_column = training_df.drop(columns=['champion', 'region'])
 
+        # Mapping dropdown selections to the correct columns
+        champ_columns = [
+            'team_champ1', 'team_champ2', 'team_champ3', 'team_champ4',
+            'opp_champ1', 'opp_champ2', 'opp_champ3', 'opp_champ4', 'opp_champ5'
+        ]
+
+        champion_converter = ChampionConverter()
+
+        # Update predict_column with user-selected champions
+        for col, champ_name in zip(champ_columns, champions):
+            champ_num = champion_converter.champion_to_num(champ_name)
+            predict_column.at[0, col] = champ_num
+
         proba = model.predict_proba(predict_column)
 
         # Get top 5 indices and probabilities