Update app.py

app.py

@@ -1,3 +1,7 @@
+# 가장 상단에 패치를 적용 (모델 로딩 전에 실행)
+from transformers import PreTrainedModel
+PreTrainedModel.tie_weights = lambda self: None
+
 import os
 import cv2
 import numpy as np
@@ -10,7 +14,7 @@ from typing import Tuple, Optional
 
 from PIL import Image
 from gradio_imageslider import ImageSlider
-from transformers import AutoModelForImageSegmentation, PreTrainedModel
+from transformers import AutoModelForImageSegmentation
 from torchvision import transforms
 
 import requests
@@ -18,9 +22,6 @@ from io import BytesIO
 import zipfile
 import random
 
-# 오버라이드: tie_weights()를 빈 함수로 재정의하여 tie_weights 호출을 무시함.
-PreTrainedModel.tie_weights = lambda self: None
-
 torch.set_float32_matmul_precision('high')
 torch.jit.script = lambda f: f