Update app.py

app.py

@@ -30,12 +30,7 @@ def process_img(image):
     with torch.no_grad():
         result = model(y)
             
-
-    restored_img = result.cpu().detach().numpy()
-    restored_img = np.clip(restored_img, 0. , 1.)
-
-    restored_img = (restored_img * 255.0).round().astype(np.uint8)  # float32 to uint8
-    return Image.fromarray(restored_img)
+    return Image.fromarray(result)
 
 title = "Efficient Hazy Vehicle Detection ✏️[] 🤗"
 description = ''' ## [Efficient Hazy Vehicle Detection](https://github.com/cidautai)