Update app.py

app.py

@@ -41,7 +41,7 @@ def predict_mos(audio_path: str, domain: str) -> float:
         for _ in range(5):
             test_dataset = get_dataset(cfg, data, "test")
             p = model(*[torch.tensor(t).unsqueeze(0).to(device) for t in test_dataset[0][:-1]])
-            preds += p[0]
+            preds += p.cpu().numpy()[0]
     preds /= 25.0
     return preds