Update app.py

app.py

@@ -57,7 +57,7 @@ def normalized(a, axis=-1, order=2):
 def predict(image):
     model = MLP(768)  # CLIP embedding dim is 768 for CLIP ViT L 14
     pthpath = "https://huggingface.co/haor/aesthetics/resolve/main/sac%2Blogos%2Bava1-l14-linearMSE.pth"
-    device = "cuda" if torch.cuda.is_available() else "cpu"
+    device = "cpu" if torch.cuda.is_available() else "cpu"
 
     model.load_state_dict(torch.hub.load_state_dict_from_url(pthpath, map_location=device))
     model.to(device).eval()