Update app.py

app.py

@@ -24,29 +24,12 @@ def process_image(input_image):
     if input_image is None:
         return None
 
-    # Ensure input_image is a numpy array
-    input_array = np.array(input_image)
-
     # Convert to PIL Image for resizing
-    pil_image = Image.fromarray(input_array)
-
-    # Resize the longest side to 256 while maintaining aspect ratio
-    width, height = pil_image.size
-    if width > height:
-        new_width = 256
-        new_height = int(height * (256 / width))
-    else:
-        new_height = 256
-        new_width = int(width * (256 / height))
-    
-    resized_image = pil_image.resize((new_width, new_height), Image.LANCZOS)
-
-    # Convert back to numpy array
-    resized_array = np.array(resized_image)
+    pil_image = Image.fromarray(input_image)
 
     # Upscale the image using AuraSR
     with torch.no_grad():
-        upscaled_image = aura_sr.upscale_4x(resized_array)
+        upscaled_image = aura_sr.upscale_4x(pil_image)
 
     # Convert result to numpy array if it's not already
     result_array = np.array(upscaled_image)