Update app.py

app.py

@@ -21,6 +21,7 @@ from wilor.utils import recursive_to
 from wilor.datasets.vitdet_dataset import ViTDetDataset, DEFAULT_MEAN, DEFAULT_STD
 from wilor.utils.renderer import Renderer, cam_crop_to_full
 device = torch.device('cpu') #if torch.cuda.is_available() else torch.device('cpu')
+print('CUDA AVAILABLE', torch.cuda.is_available())
 
 LIGHT_PURPLE=(0.25098039,  0.274117647,  0.65882353)
 
@@ -33,7 +34,7 @@ model.eval()
 
 detector = YOLO('./pretrained_models/detector.pt').to(device)
 
-@spaces.GPU(enable_queue=True)
+@spaces.GPU()
 def run_wilow_model(image, conf, IoU_threshold=0.5):
     img_cv2 = image[...,::-1]
     img_vis = image.copy()
@@ -180,4 +181,4 @@ with gr.Blocks(title="WiLoR: End-to-end 3D hand localization and reconstruction
             ], 
             inputs=input_image)
     
-demo.queue().launch(debug=True)
+demo.launch(debug=True)