Update app.py

app.py

@@ -21,9 +21,9 @@ categorical_features = ['Movement Activity', 'Location', 'day_of_week']
 categories_map = {cat: encoder.categories_[i].tolist() for i, cat in enumerate(categorical_features)}
 
 # --- Prediction function ---
-def predict_fall(movement_activity, location, day_of_week, hour_of_day, minute_of_day, time_since_last_event):
+def predict_fall(movement_activity, location, day_of_week, time_since_last_event):
     try:
-        # Initialize all features to 0
+        # Initialize all features to 0hour_of_day, minute_of_day,
         data = {f: 0 for f in feature_names}
 
         # Set one-hot encoded categorical features
@@ -32,8 +32,6 @@ def predict_fall(movement_activity, location, day_of_week, hour_of_day, minute_o
         data[f'day_of_week_{day_of_week}'] = 1
 
         # Set numeric features
-        data['hour_of_day'] = hour_of_day
-        data['minute_of_day'] = minute_of_day
         data['time_since_last_event'] = time_since_last_event
 
         # Create DataFrame with all features in correct order