Fix another tiny bug

app.py

@@ -15,12 +15,13 @@ import pandas as pd
 from sklearn.metrics import accuracy_score, f1_score, recall_score, precision_score
 
 from huggingface_hub import HfApi
+
 api = HfApi()
 
 st.title("NADI 2024 Leaderboard")
 st.write(
     "This leaderboard serves as a public interface for benchmarking Arabic Dialect Identification (ADI) "
-    "models using the NADI 2024 dataset, "
+    "models using an 'extended version' of the NADI 2024 dataset, "
     "the first multi-label country-level ADI dataset."
 )
 
@@ -44,6 +45,7 @@ with tab1:
         model_predictions_rows = []
 
     if model_predictions_rows:
+        # TODO: Store these metrics in a separate dataset!
         evaluation_metrics = []
         for row in model_predictions_rows:
             # Evaluate the models
@@ -93,7 +95,7 @@ with tab1:
             results_df["Rank"] = range(1, len(results_df) + 1)
             results_df["URL"] = [
                 f"https://huggingface.co/{row['model_name']}"
-                for row in model_predictions_rows
+                for row in model_predictions_rows if row["status"] == "completed"
             ]
 
             results_df = results_df[