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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() |