Update app.py

app.py

@@ -31,7 +31,7 @@ def resize_to_match(input_image, output_image):
     torch_img_scaled = F.interpolate(torch_img.unsqueeze(0),mode='trilinear').squeeze(0)
     output_image = torchvision.transforms.functional.to_pil_image(torch_img_scaled, mode=None)
     return output_image
-    #return output_image.resize(input_image.size, Image.BILINEAR)  # Use BILINEAR for faster resizing
+    #return output_image.resize(input_image.size, Image.BICUBIC)  # Use BILINEAR for faster resizing
 
 # Function to generate the mask using Florence SAM Masking API (Replicate)
 def generate_mask(image_path, text_prompt="clothing"):