Hello mr. Would you like some bloat?

static/images/cropper.py

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+import os
+import glob
+from PIL import Image
+from concurrent.futures import ProcessPoolExecutor, as_completed
+
+# Directories
+input_dir = 'spinning_cat'
+output_dir = 'spinning_cat_cropped'
+
+# Ensure output directory exists
+def ensure_output_dir():
+    if not os.path.exists(output_dir):
+        os.makedirs(output_dir)
+
+# Process a single image: crop transparent borders and save
+def process_image(filepath):
+    try:
+        img = Image.open(filepath)
+        if img.mode != 'RGBA':
+            img = img.convert('RGBA')
+        alpha = img.split()[-1]
+        bbox = alpha.getbbox()
+        cropped = img.crop(bbox) if bbox else img
+        filename = os.path.basename(filepath)
+        out_path = os.path.join(output_dir, filename)
+        cropped.save(out_path)
+        return out_path, None
+    except Exception as e:
+        return filepath, e
+
+# Main execution: parallel processing
+
+def main():
+    ensure_output_dir()
+    pattern = os.path.join(input_dir, 'untitled_*.png')
+    files = sorted(glob.glob(pattern))
+    if not files:
+        print(f"No files found in '{input_dir}' with pattern 'untitled_*.png'.")
+        return
+
+    with ProcessPoolExecutor() as executor:
+        futures = {executor.submit(process_image, fp): fp for fp in files}
+        for future in as_completed(futures):
+            fp = futures[future]
+            out_path, error = future.result()
+            if error:
+                print(f"Error processing {fp}: {error}")
+            else:
+                print(f"Cropped and saved: {out_path}")
+
+    print("Processing complete.")
+
+if __name__ == '__main__':
+    main()
+