Update hfapp.py

hfapp.py

@@ -31,7 +31,7 @@ def localize_anomalies(input_img, preset="edm2-img64-s-fid", load_from_hub=False
     input_img = input_img.resize(size=(64, 64), resample=Image.Resampling.LANCZOS)
     img = np.array(input_img)
     img = torch.from_numpy(img).permute(2, 0, 1).unsqueeze(0)
-    model, modeldir = load_model_from_hub(preset=preset, device=device)
+    model, modeldir = load_model_from_hub(preset=preset, device='cpu')
     img_likelihood, score_norms = run_inference(model, img)
     nll, pct, ref_nll = compute_gmm_likelihood(
         score_norms, model_dir=modeldir