upgrade leaderboard

app.py

@@ -110,8 +110,8 @@ def compute_metrics(csv_path: str, dataset: str, split: str, num_workers: int =
         # eval_csv = pd.concat([eval_csv, pd.DataFrame(results_list)], ignore_index=True)
         final_results = {
             # metric: np.mean(eval_csv[eval_csv['query_id'].isin(query_ids)][metric]) for metric in eval_metrics
-            'kappa': round(cohen_kappa, 4),
-            'alpha': round(krippendorff_alpha, 4) 
+            'Kappa': round(cohen_kappa, 4),
+            'Alpha': round(krippendorff_alpha, 4) 
         }
         return final_results