updates

app.py

@@ -16,7 +16,9 @@ def para_func(image: gr.Image = None, image_size: gr.Slider = 640, conf_threshol
     box = results[0].boxes
     print("Object type:", box.cls)
     print("Coordinates:", box.xyxy)
-    print("Probability:", f'{box.conf * 100:.1f}%')
+    probability_percentage = box.conf.item() * 100  # Converts the tensor to a float
+    print("Probability:", f'{probability_percentage:.1f}%')
+    
 
     # Render the output image with bounding boxes around detected objects
     render = render_result(model=model, image=image, result=results[0])