Fix: use enable_unsafe_deserialization for MobileNetV3 loading

app.py

@@ -111,22 +111,14 @@ def preprocess_image(img_array: np.ndarray, mode: str) -> np.ndarray:
 # dikenali agar load_model tidak error.
 import keras
 
-# Fix MobileNetV3 hard_swish: saat deserialization, 3.0 dipass sebagai
-# positional arg ke Layer.__call__ yang menolak non-tensor positional args.
-# Monkey-patch: convert float/int positional args jadi tensor constant.
-_original_layer_call = keras.layers.Layer.__call__
-
-def _patched_layer_call(self, *args, **kwargs):
-    new_args = []
-    for arg in args:
-        if isinstance(arg, (int, float)):
-            new_args.append(tf.constant(arg))
-        else:
-            new_args.append(arg)
-    return _original_layer_call(self, *tuple(new_args), **kwargs)
-
-keras.layers.Layer.__call__ = _patched_layer_call
-logger.info("Patched Layer.__call__ for MobileNetV3 compat")
+# Fix MobileNetV3 hard_swish: deserialization gagal karena 3.0 dipass
+# sebagai positional arg. enable_unsafe_deserialization() menonaktifkan
+# validasi ketat saat reconstruct model dari config.
+try:
+    keras.config.enable_unsafe_deserialization()
+    logger.info("Enabled unsafe deserialization for MobileNetV3 compat")
+except AttributeError:
+    logger.warning("keras.config.enable_unsafe_deserialization not available")
 
 
 _OriginalDense = keras.layers.Dense