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| import gradio as gr | |
| import torch | |
| from TTS.api import TTS | |
| # Get device | |
| device = "cuda" if torch.cuda.is_available() else "cpu" | |
| # Init TTS | |
| tts = TTS("tts_models/multilingual/multi-dataset/xtts_v2").to(device) | |
| def voice_clone(text: str, speaker_wav: str, language: str): | |
| # Run TTS | |
| print("Speaker wav:", speaker_wav) | |
| tts.tts_to_file(text=text, speaker_wav=speaker_wav, language=language, file_path="output.wav") | |
| return "output.wav" | |
| iface = gr.Interface(fn=voice_clone, | |
| inputs=["text", gr.Audio(type="filepath"), gr.Radio(['ko', 'en'], label="Language")], | |
| outputs=gr.Audio(type="filepath"), | |
| title="IMCapusle Voice Clone") | |
| iface.launch() |