Update app.py

app.py

@@ -54,7 +54,9 @@ def parse_logits(logits: torch.Tensor, length: int) -> List[int]:
     return ret
 
 def get_orders(image_path, boxes):
+    print(boxes)
     boxes = scale_and_normalize_boxes(boxes)
+    print(boxes)
     inputs = boxes2inputs(boxes)
     inputs = {k: v.to(layout_model.device) for k, v in inputs.items()}  # Move inputs to model device
     logits = layout_model(**inputs).logits.cpu().squeeze(0)  # Perform inference and get logits