Update app.py

app.py

@@ -53,6 +53,7 @@ hubert = torch.hub.load("bshall/hubert:main", "hubert_soft")
 _ = utils.load_checkpoint("G_18000.pth", net_g_ms, None)
 
 def vc_fn(input_audio,vc_transform):
+    vcid=0
     if input_audio is None:
         return "You need to upload an audio", None
     sampling_rate, audio = input_audio
@@ -77,7 +78,7 @@ def vc_fn(input_audio,vc_transform):
         print(sampling_rate)
         f0 = resize2d(f0, len(soft[:, 0])) * vc_transform
         soft[:, 0] = f0 / 10
-    sid = torch.LongTensor([0])
+    sid = torch.LongTensor([vcid])
     stn_tst = torch.FloatTensor(soft)
     with torch.no_grad():
         x_tst = stn_tst.unsqueeze(0)