Update app.py

app.py

@@ -22,11 +22,13 @@ def initialize_leaderboard_file():
     """
     if not os.path.exists(LEADERBOARD_FILE):
         pd.DataFrame(columns=[
-            "Model Name", "Overall Accuracy", "Timestamp"
+           "Model Name", "Overall Accuracy", "Valid Accuracy",
+            "Correct Predictions", "Total Questions", "Timestamp"
         ]).to_csv(LEADERBOARD_FILE, index=False)
     elif os.stat(LEADERBOARD_FILE).st_size == 0:
         pd.DataFrame(columns=[
-            "Model Name", "Overall Accuracy", "Timestamp"
+            "Model Name", "Overall Accuracy", "Valid Accuracy",
+            "Correct Predictions", "Total Questions", "Timestamp"
         ]).to_csv(LEADERBOARD_FILE, index=False)
 
 def clean_answer(answer):
@@ -42,8 +44,11 @@ def update_leaderboard(results):
     Append new submission results to the leaderboard file and push updates to the Hugging Face repository.
     """
     new_entry = {
-        "Model Name": results['model_name'],
+       "Model Name": results['model_name'],
         "Overall Accuracy": round(results['overall_accuracy'] * 100, 2),
+        "Valid Accuracy": round(results['valid_accuracy'] * 100, 2),
+        "Correct Predictions": results['correct_predictions'],
+        "Total Questions": results['total_questions'],
         "Timestamp": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
     }
 
@@ -83,6 +88,9 @@ def load_leaderboard():
         return pd.DataFrame({
             "Model Name": [],
             "Overall Accuracy": [],
+            "Valid Accuracy": [],
+            "Correct Predictions": [],
+            "Total Questions": [],
             "Timestamp": [],
         })
     return pd.read_csv(LEADERBOARD_FILE)