Add weights option to BiRefNet trained in all different settings.

app.py

@@ -59,6 +59,7 @@ def predict(image, resolution, weights_file):
         # Load BiRefNet with chosen weights
         _weights_file = '/'.join(('zhengpeng7', usage_to_weights_file[weights_file] if weights_file is not None else 'BiRefNet'))
         print('Change weights to:', _weights_file)
+        print('\t', weights_file, weights_path)
         birefnet = AutoModelForImageSegmentation.from_pretrained(_weights_file, trust_remote_code=True)
         birefnet.to(device)
         birefnet.eval()