Update README.md

README.md

@@ -43,8 +43,8 @@ from speechbrain.inference.TTS import FastSpeech2InternalAlignment
 from speechbrain.inference.vocoders import HIFIGAN
 
 # Intialize TTS (tacotron2) and Vocoder (HiFIGAN)
-fastspeech2 = FastSpeech2InternalAlignment.from_hparams(source="speechbrain/tts-fastspeech2-internal-alignment-ljspeech", savedir="tmpdir_tts")
-hifi_gan = HIFIGAN.from_hparams(source="speechbrain/tts-hifigan-ljspeech", savedir="tmpdir_vocoder")
+fastspeech2 = FastSpeech2InternalAlignment.from_hparams(source="speechbrain/tts-fastspeech2-internal-alignment-ljspeech", savedir="pretrained_models/tts-fastspeech2-internal-alignment-ljspeech")
+hifi_gan = HIFIGAN.from_hparams(source="speechbrain/tts-hifigan-ljspeech", savedir="pretrained_models/tts-hifigan-ljspeech")
 
 # Run TTS with text input
 input_text = "Welcome to speechbrain, this is a test run with fastspeech internal alignment."
@@ -84,7 +84,7 @@ If you want to generate multiple sentences in one-shot, you can do in this way:
 
 ```python
 from speechbrain.inference.TTS import FastSpeech2InternalAlignment
-fastspeech2 = FastSpeech2InternalAlignment.from_hparams(source="speechbrain/tts-fastspeech2-internal-alignment-ljspeech", savedir="tmpdir_tts")
+fastspeech2 = FastSpeech2InternalAlignment.from_hparams(source="speechbrain/tts-fastspeech2-internal-alignment-ljspeech", savedir="pretrained_models/tts-fastspeech2-internal-alignment-ljspeech")
 items = [
        "A quick brown fox jumped over the lazy dog",
        "How much wood would a woodchuck chuck?",