Update README.md

README.md

@@ -40,7 +40,7 @@ Please notice that we encourage you to read our tutorials and learn more about
 - *Basic Usage:*
 ```python
 import torch
-from speechbrain.inference.TTS import HIFIGAN
+from speechbrain.inference.vocoders import HIFIGAN
 hifi_gan = HIFIGAN.from_hparams(source="speechbrain/tts-hifigan-ljspeech", savedir="tmpdir")
 mel_specs = torch.rand(2, 80,298)
 waveforms = hifi_gan.decode_batch(mel_specs)
@@ -50,7 +50,7 @@ waveforms = hifi_gan.decode_batch(mel_specs)
 
 ```python
 import torchaudio
-from speechbrain.inference.TTS import HIFIGAN
+from speechbrain.inference.vocoders import HIFIGAN
 from speechbrain.lobes.models.FastSpeech2 import mel_spectogram
 
 # Load a pretrained HIFIGAN Vocoder
@@ -93,8 +93,8 @@ torchaudio.save('waveform_reconstructed.wav', waveforms.squeeze(1), 22050)
 ### Using the Vocoder with the TTS
 ```python
 import torchaudio
-from speechbrain.inference.TTS import Tacotron2
-from speechbrain.inference.TTS import HIFIGAN
+from speechbrain.inference.vocoders import Tacotron2
+from speechbrain.inference.vocoders import HIFIGAN
 
 # Intialize TTS (tacotron2) and Vocoder (HiFIGAN)
 tacotron2 = Tacotron2.from_hparams(source="speechbrain/tts-tacotron2-ljspeech", savedir="tmpdir_tts")