Update app.py

app.py

@@ -1,7 +1,7 @@
 import gradio as gr
 import torch
 import pickle
-from PIL import Image
+from PIL import Image,ImageOps
 import numpy as np
 import cv2
 import torchvision.transforms as transforms
@@ -62,7 +62,8 @@ def preprocess_single_image(pil_image: Image.Image) -> torch.Tensor:
     """
     print(pil_image)
     img_gray = pil_image['composite'].convert('L')
-
+    
+    img_gray = ImageOps.invert(img_gray)
     # 2. Конвертируем в numpy для трансформаций из cv2
     img_np = np.array(img_gray)