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| import torch | |
| import tempfile | |
| from TTS.api import TTS | |
| class XTTSTalker(): | |
| def __init__(self) -> None: | |
| model_list = TTS().list_models() | |
| print(model_list) | |
| # Get device | |
| device = "cuda" if torch.cuda.is_available() else "cpu" | |
| self.tts = TTS("tts_models/multilingual/multi-dataset/xtts_v1.1").to(device) | |
| def test(self, text, language='en'): | |
| tempf = tempfile.NamedTemporaryFile( | |
| delete = False, | |
| suffix = ('.'+'wav'), | |
| ) | |
| # wav = tts.tts(text="Hello world!", speaker_wav="my/cloning/audio.wav", language="en") | |
| self.tts.tts_to_file(text, language=language, file_path="./speaker.wav") | |
| return tempf.name | |
| if __name__ == "__main__": | |
| tts = XTTSTalker() | |
| print(tts.test("Hello world!")) |