Update app.py

app.py

@@ -45,7 +45,7 @@ def predict(inp):
     encoders = [EncodecModel.from_pretrained("facebook/encodec_48khz")]
 
     #Run modelD to disguise audio
-    with torch.no_grad():
+    with torch():
         waveformD = attack.poison_audio(waveform, sample_rate, encoders)
 
     #Transform output audio into gradio-readable format