Fixed the validation message

validation.py

@@ -236,7 +236,14 @@ def validate_dataframe(df: pd.DataFrame, submission_type: str = "GDPa1") -> None
         results_df = evaluate(predictions_df=df, target_df=df_gdpa1, dataset_name=submission_type)
         # Check that the Spearman correlations are not too high
         if results_df["spearman"].max() > 0.9:
-            raise gr.Error(f"❌ Your submission shows abnormally high correlations (>0.9) on the public set. Please check that you're not overfitting on the public set and are using cross-validation if training a new model.\nIf you think this is a mistake, please contact [email protected].", duration=30)
+            raise gr.Error(
+                message="⚠️ Your submission shows abnormally high correlations (>0.9) on the public set. "
+                "Please check that you're not overfitting/don't have data leakage on the public set and are using cross-validation if training a new model.\n"
+                "This will result in a better model for eventually submitting to the heldout test set.\n"
+                "If you think this is a mistake, please contact [email protected].",
+                duration=30,
+                title="Data Leakage Warning",
+            )
 
 
 def validate_csv_file(file_content: str, submission_type: str = "GDPa1") -> None: