Update app.py

app.py

@@ -35,7 +35,7 @@ if __name__ == "__main__":
     parser.add_argument("--pretrained_path", type=str, default="naver-clova-ix/donut-base-finetuned-cord-v2")
     parser.add_argument("--port", type=int, default=None)
     parser.add_argument("--url", type=str, default=None)
-    parser.add_argument("--sample_img_path", type=str, default="./sample_image_cord_test_receipt_00004.png")
+    parser.add_argument("--sample_img_path", type=str, default="./sample_image_cord_test_receipt_00004.jpg")
     args, left_argv = parser.parse_known_args()
 
     task_name = args.task
@@ -47,8 +47,8 @@ if __name__ == "__main__":
     example_sample = []
     if args.sample_img_path:
         image = Image.open(args.sample_img_path)
-        image.save("cord_sample_receipt.png")
-        example_sample.append("cord_sample_receipt.png")
+        image.save("cord_sample_receipt.jpg")
+        example_sample.append("cord_sample_receipt.jpg")
 
     pretrained_model = DonutModel.from_pretrained(args.pretrained_path)
     pretrained_model.encoder.to(torch.bfloat16)