try loading as TF SavedModel instead of HDF5

qurator/eynollah/eynollah.py

@@ -668,10 +668,15 @@ class Eynollah:
         gpu_options = tf.compat.v1.GPUOptions(allow_growth=True)
         #gpu_options = tf.compat.v1.GPUOptions(per_process_gpu_memory_fraction=7.7, allow_growth=True)
         session = tf.compat.v1.Session(config=tf.compat.v1.ConfigProto(gpu_options=gpu_options))
-        try:
+
+        # try:
+        #     model = load_model(model_dir, compile=False)
+        # except:
+        #     model = load_model(model_dir , compile=False,custom_objects = {"PatchEncoder": PatchEncoder, "Patches": Patches})
+        if model_dir.endswith('.h5') and Path(model_dir[:-3]).exists():
+            # prefer SavedModel over HDF5 format if it exists
+            model_dir = model_dir[:-3]
         model = load_model(model_dir, compile=False)
-        except:
-            model = load_model(model_dir , compile=False,custom_objects = {"PatchEncoder": PatchEncoder, "Patches": Patches})
 
         return model, session