Update app.py

app.py

@@ -43,7 +43,7 @@ net_g = SynthesizerTrn(
     len(symbols),
     hps.data.filter_length // 2 + 1,
     hps.train.segment_size // hps.data.hop_length,
-    **hps.model).cuda()
+    **hps.model)
 _ = net_g.eval()
 
 _ = utils.load_checkpoint("G_265000.pth", net_g, None)
@@ -51,9 +51,9 @@ _ = utils.load_checkpoint("G_265000.pth", net_g, None)
 def syn(content):
   stn_tst = get_text(content, hps)
   with torch.no_grad():
-      x_tst = stn_tst.cuda().unsqueeze(0)
-      x_tst_lengths = torch.LongTensor([stn_tst.size(0)]).cuda()
-      audio = net_g.infer(x_tst, x_tst_lengths, noise_scale=.667, noise_scale_w=0.8, length_scale=1)[0][0,0].data.cpu().float().numpy()
+      x_tst = stn_tst.unsqueeze(0)
+      x_tst_lengths = torch.LongTensor([stn_tst.size(0)])
+      audio = net_g.infer(x_tst, x_tst_lengths, noise_scale=.667, noise_scale_w=0.8, length_scale=1)[0][0,0].data.float().numpy()
   return (hps.data.sampling_rate,audio)
   #ipd.display(ipd.Audio(audio, rate=hps.data.sampling_rate))