Update app.py

app.py

@@ -36,9 +36,9 @@ The prediction helps in identifying students at risk early, allowing for timely
 import joblib
 
 # Load the models
-decision_tree = joblib.load('age_aware_models/decision_tree_model.joblib')
-logistic_regression = joblib.load('age_aware_models/logistic_regression_model.joblib')
-random_forest = joblib.load('age_aware_models/random_forest_model.joblib')
+decision_tree = joblib.load('decision_tree_model.joblib')
+logistic_regression = joblib.load('logistic_regression_model.joblib')
+random_forest = joblib.load('random_forest_model.joblib')
 
 # Define a dictionary of models with their names, actual models, and types
 models = {