Update app.py

app.py

@@ -16,7 +16,7 @@ from diffusion import Diffusion_cond
 device = 'cuda' if torch.cuda.is_available() else 'cpu'
 
 model = PaletteModelV2(c_in=2, c_out=1, num_classes=5, image_size=256, true_img_size=64).to(device)
-ckpt = torch.load('ema_ckpt_cond.pt')
+ckpt = torch.load('ema_ckpt_cond.pt', map_location=torch.device(device))
 model.load_state_dict(ckpt)
 
 diffusion = Diffusion_cond(img_size=256, device=device)