Update OK.jpg image path (as local file)

app.py

@@ -13,7 +13,8 @@ model = AutoModel.from_pretrained(model_name).to(device)
 processor = AutoImageProcessor.from_pretrained(model_name)
 
 # Load OK reference image (built-in normal)
-ok_image = Image.open("https://huggingface.co/datasets/Soooma/sofc/blob/main/OK1.jpg")
+#ok_image = Image.open("https://huggingface.co/datasets/Soooma/sofc/blob/main/OK1.jpg")
+ok_image = Image.open("OK1.jpg")
 
 # Precompute OK feature embedding
 with torch.no_grad():