Update README.md

README.md

@@ -39,7 +39,7 @@ Please notice that we encourage you to read our tutorials and learn more about
 ```python
 import torch
 from speechbrain.inference.vocoders import HIFIGAN
-hifi_gan = HIFIGAN.from_hparams(source="speechbrain/tts-hifigan-libritts-22050Hz", savedir="tmpdir")
+hifi_gan = HIFIGAN.from_hparams(source="speechbrain/tts-hifigan-libritts-22050Hz", savedir="pretrained_models/tts-hifigan-libritts-22050Hz")
 mel_specs = torch.rand(2, 80,298)
 
 # Running Vocoder (spectrogram-to-waveform)
@@ -54,7 +54,7 @@ from speechbrain.inference.vocoders import HIFIGAN
 from speechbrain.lobes.models.FastSpeech2 import mel_spectogram
 
 # Load a pretrained HIFIGAN Vocoder
-hifi_gan = HIFIGAN.from_hparams(source="speechbrain/tts-hifigan-libritts-22050Hz", savedir="tmpdir_voc22050")
+hifi_gan = HIFIGAN.from_hparams(source="speechbrain/tts-hifigan-libritts-22050Hz", savedir="pretrained_models/tts-hifigan-libritts-22050Hz")
 
 # Load an audio file (an example file can be found in this repository)
 # Ensure that the audio signal is sampled at 22050 Hz; refer to the provided link for a 16000 Hz Vocoder.
@@ -103,8 +103,8 @@ from speechbrain.inference.TTS 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")
-hifi_gan = HIFIGAN.from_hparams(source="speechbrain/tts-hifigan-libritts-22050Hz", savedir="tmpdir_vocoder")
+tacotron2 = Tacotron2.from_hparams(source="speechbrain/tts-tacotron2-ljspeech", savedir="pretrained_models/tts-tacotron2-ljspeech")
+hifi_gan = HIFIGAN.from_hparams(source="speechbrain/tts-hifigan-libritts-22050Hz", savedir="pretrained_models/tts-hifigan-libritts-22050Hz")
 
 # Running the TTS
 mel_output, mel_length, alignment = tacotron2.encode_text("Mary had a little lamb")