.1f for predict regression

app.py

@@ -447,7 +447,7 @@ def run_inference(
         output = infer_image(image, head, image_state.get("mask"), return_probs=head not in REGRESSION_HEADS)
 
         if head in REGRESSION_HEADS:
-            return f"{output:.3f}", gr.update(visible=False)
+            return f"{output:.1f}", gr.update(visible=False)
 
         # Use id_to_labels.json mapping, fall back to model config if not available
         id2label = load_id_to_labels().get(head, {})