Update app.py

app.py

@@ -22,13 +22,11 @@ def initialize_leaderboard_file():
     """
     if not os.path.exists(LEADERBOARD_FILE):
         pd.DataFrame(columns=[
-            "Model Name", "Overall Accuracy", "Valid Accuracy",
-            "Correct Predictions", "Total Questions", "Timestamp"
+            "Model Name", "Overall Accuracy", "Timestamp"
         ]).to_csv(LEADERBOARD_FILE, index=False)
     elif os.stat(LEADERBOARD_FILE).st_size == 0:
         pd.DataFrame(columns=[
-            "Model Name", "Overall Accuracy", "Valid Accuracy",
-            "Correct Predictions", "Total Questions", "Timestamp"
+            "Model Name", "Overall Accuracy", "Timestamp"
         ]).to_csv(LEADERBOARD_FILE, index=False)
 
 def clean_answer(answer):
@@ -46,9 +44,6 @@ def update_leaderboard(results):
     new_entry = {
         "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"),
     }
 
@@ -88,9 +83,6 @@ def load_leaderboard():
         return pd.DataFrame({
             "Model Name": [],
             "Overall Accuracy": [],
-            "Valid Accuracy": [],
-            "Correct Predictions": [],
-            "Total Questions": [],
             "Timestamp": [],
         })
     return pd.read_csv(LEADERBOARD_FILE)
@@ -139,9 +131,6 @@ def evaluate_predictions(prediction_file, model_name, add_to_leaderboard):
         results = {
             'model_name': model_name if model_name else "Unknown Model",
             'overall_accuracy': overall_accuracy,
-            'valid_accuracy': valid_accuracy,
-            'correct_predictions': correct_predictions,
-            'total_questions': total_predictions,
         }
 
         if add_to_leaderboard: