Update app

app.py

@@ -784,7 +784,7 @@ def load_spectrograms(wav_file, asd=False, num_frames=None, window_frames=25, st
 	
 	# Convert to tensor
 	wav = torch.FloatTensor(wav).unsqueeze(0)
-	mel, _, _, _ = wav2filterbanks(wav.to(device))
+	mel, _, _, _ = wav2filterbanks(wav)
 	spec = mel.squeeze(0).cpu().numpy()
 	orig_spec = spec
 	spec = np.array([spec[i:i+(window_frames*stride), :] for i in range(0, spec.shape[0], stride) if (i+(window_frames*stride) <= spec.shape[0])])