Update app.py

app.py

@@ -45,8 +45,7 @@ def predict(inp):
     encoders = [EncodecModel.from_pretrained("facebook/encodec_48khz")]
 
     #Run modelD to disguise audio
-    with torch():
-        waveformD = attack.poison_audio(waveform, sample_rate, encoders)
+    waveform = attack.poison_audio(waveform, sample_rate, encoders)
 
     #Transform output audio into gradio-readable format
     waveform = waveform.numpy()