Update app.py

app.py

@@ -35,7 +35,7 @@ import torchvision.transforms as transforms
 
 import gradio as gr
 
-model_name = "convnext_xlarge_in22k"
+model_name = "lseg_demo"
 device = 'cuda' if torch.cuda.is_available() else 'cpu'
 def get_new_pallete(num_cls):
     n = num_cls