Update app.py

app.py

@@ -81,10 +81,9 @@ def speak(text):
     diffusion_conditioning = normalize_tacotron_mel(cond_mel)
     mel = do_spectrogram_diffusion(diffusion, diffuser, latent, diffusion_conditioning, temperature=1.0).detach().cpu()
     wav = vocos.decode(mel).detach().cpu()
-    print(wav.numpy())
     # return (24000, wav.numpy())
     with tempfile.NamedTemporaryFile(suffix='.wav', delete=False) as f:
-        write(f.name, data=wav.numpy(), rate=24000)
+        torchaudio.save(f.name,wav.detach().cpu(), 24000)
         return f.name
 
 with gr.Blocks() as demo: