Update app.py

Fix indent error

app.py

@@ -107,26 +107,26 @@ def process_image_inpaint(raw_image,mask, prompt):
     target_image = target_image.resize((512, 512))
 
     with torch.autocast('cuda'):
-    mask, X = prepare_mask_and_masked_image(init_image, mask_image)
-    X = X.half().cuda()
-    mask = mask.half().cuda()
+        mask, X = prepare_mask_and_masked_image(init_image, mask_image)
+        X = X.half().cuda()
+        mask = mask.half().cuda()
+        
+        # Here we attack towards the embedding of a random target image. You can also simply attack towards an embedding of zeros!
+        target = pipe_inpaint.vae.encode(preprocess(target_image).half().cuda()).latent_dist.mean
     
-    # Here we attack towards the embedding of a random target image. You can also simply attack towards an embedding of zeros!
-    target = pipe_inpaint.vae.encode(preprocess(target_image).half().cuda()).latent_dist.mean
-
-    adv_X = pgd(X, 
-                target = target,
-                model=pipe_inpaint.vae.encode, 
-                criterion=torch.nn.MSELoss(), 
-                clamp_min=-1, 
-                clamp_max=1,
-                eps=0.06, 
-                step_size=0.01, 
-                iters=1000,
-                mask=1-mask
-               )
-
-    adv_X = (adv_X / 2 + 0.5).clamp(0, 1)
+        adv_X = pgd(X, 
+                    target = target,
+                    model=pipe_inpaint.vae.encode, 
+                    criterion=torch.nn.MSELoss(), 
+                    clamp_min=-1, 
+                    clamp_max=1,
+                    eps=0.06, 
+                    step_size=0.01, 
+                    iters=1000,
+                    mask=1-mask
+                   )
+    
+        adv_X = (adv_X / 2 + 0.5).clamp(0, 1)
 
     adv_image = to_pil(adv_X[0]).convert("RGB")
     adv_image = recover_image(adv_image, init_image, mask_image, background=True)