Make the runtime counter var global.

app.py

@@ -68,7 +68,7 @@ def predict(image, resolution, weights_file):
  global birefnet
  # Load BiRefNet with chosen weights
  _weights_file = '/'.join(('zhengpeng7', usage_to_weights_file[weights_file] if weights_file is not None else usage_to_weights_file['General']))
- counter_runtime += 1
+ global counter_runtime; counter_runtime += 1
  print('Using weights: {} in runtime {}'.format(_weights_file, counter_runtime))
  birefnet = AutoModelForImageSegmentation.from_pretrained(_weights_file, trust_remote_code=True)
  birefnet.to(device)