Upgrade the weights loading method to avoid duplicated loading.

app.py

@@ -53,13 +53,12 @@ birefnet.eval()
 @spaces.GPU
 def predict(image, resolution, weights_file):
     global birefnet
-    if weights_file != 'General':
-        # 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)
-        birefnet = birefnet.from_pretrained(_weights_file)
-        birefnet.to(device)
-        birefnet.eval()
+    # 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)
+    birefnet = birefnet.from_pretrained(_weights_file)
+    birefnet.to(device)
+    birefnet.eval()
 
     resolution = f"{image.shape[1]}x{image.shape[0]}" if resolution == '' else resolution
     # Image is a RGB numpy array.