update scripts

app.py

@@ -52,10 +52,12 @@ def load_data(data_path):
         df_tmp[['en', 'zh', 'id', 'th', 'vi', 'avg', 'avg_sea']] *= 100
         df_tmp[['en', 'zh', 'id', 'th', 'vi', 'avg', 'avg_sea']] = df_tmp[['en', 'zh', 'id', 'th', 'vi', 'avg', 'avg_sea']].round(2)
 
-    # change the order of the columns to ['Model', 'type', 'open?', 'shot', 'avg', 'avg_sea', 'en', 'zh', 'id', 'th', 'vi']
-    df_m3exam = df_m3exam[columns_sorted]
-    df_mmlu = df_mmlu[columns_sorted]
-    df_avg = df_avg[columns_sorted]
+    # change the order of the columns to ['Model', 'type', 'open?', 'shot', 'avg', 'avg_sea', 'en', 'zh', 'id', 'th', 'vi'] 
+    # and sort the columns by 'avg' in descending order
+    df_m3exam = df_m3exam[columns_sorted].sort_values(by='avg', ascending=False)
+    df_mmlu = df_mmlu[columns_sorted].sort_values(by='avg', ascending=False)
+    df_avg = df_avg[columns_sorted].sort_values(by='avg', ascending=False)
+    
     return df_m3exam, df_mmlu, df_avg
 
 # Example path to your CSV file