Update README.md

README.md

@@ -97,7 +97,7 @@ VAD.save_boundaries(boundaries)
 The output is a tensor that contains the beginning/end second of each
 detected speech segment. You can save the boundaries on a file with:
 
-```python
+```
 VAD.save_boundaries(boundaries, save_path='VAD_file.txt')
 ```
 
@@ -105,7 +105,7 @@ Sometimes it is useful to jointly visualize the VAD output with the input signal
 
 To do it:
 
-```python
+```
 import torchaudio
 upsampled_boundaries = VAD.upsample_boundaries(boundaries, 'pretrained_model_checkpoints/example_vad.wav')    
 torchaudio.save('vad_final.wav', upsampled_boundaries.cpu(), 16000)