Download xtts_trained/tryXTTS.py from aseel-kh/xtts: direct link, hf CLI and curl.
- Browser
- Download file 651 Bytes
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https://huggingface.co/aseel-kh/xtts/resolve/main/xtts_trained/tryXTTS.py
- Command line
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hf download hf://aseel-kh/xtts/xtts_trained/tryXTTS.py
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curl -L -o tryXTTS.py https://huggingface.co/aseel-kh/xtts/resolve/main/xtts_trained/tryXTTS.py
651 Bytes
| from TTS.api import TTS | |
| import torch | |
| device = "cuda" if torch.cuda.is_available() else "cpu" | |
| tts = TTS(model_path="C:/Users/LENOVO/Documents/xtts_trained", config_path="C:/Users/LENOVO/Documents/xtts_trained/config.json",progress_bar=False).to(device) | |
| #tts = TTS(model_name="tts_models/multilingual/multi-dataset/xtts_v2", progress_bar=False).to(device) | |
| tts.tts_to_file("ูุฃููุง ุจูู ูู ุดุฑูุฉ blue ูุฎุฏู ุงุช ุงูุฏูุน ุงูุฅููุชุฑูููุ ุฅุณู ู ุฃูุณูู ุููู ูู ูููู ู ุณุงุนุฏุชู ุตุฏูููุ", speaker_wav="C:/Users/LENOVO/Desktop/bluewavs/arabic.wav", language="ar", file_path="C:/Users/LENOVO/Downloads/outputt.wav") |