Add weights option to BiRefNet trained in all different settings.

app.py

@@ -50,8 +50,7 @@ usage_to_weights_file = {
     'DIS-TR_TEs': 'BiRefNet-DIS5K-TR_TEs'
 }
 
-# def predict(image_1, image_2):
-#     images = [image_1, image_2]
+
 @spaces.GPU
 def predict(image, resolution, weights_file):
     global weights_path
@@ -92,7 +91,7 @@ def predict(image, resolution, weights_file):
     return image, image_preds[0]
 
 
-examples = [[_] for _ in glob('materials/examples/*')][:]
+examples = [[_] for _ in glob('examples/*')][:]
 
 # Add the option of resolution in a text box.
 for idx_example, example in enumerate(examples):