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import subprocess | |
# Run the setup.py install command | |
try: | |
subprocess.run(['python', 'setup.py', 'install', '--user'], check=True) | |
print("Installation successful.") | |
except subprocess.CalledProcessError as e: | |
print(f"Installation failed with error: {e}") | |
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=[gr.Textbox(lines=2, placeholder="Enter the text...", label="Text"), | |
gr.Audio(type="filepath", label="Upload audio file"), | |
gr.Radio(['ru', 'en', 'zh-cn', 'ja', 'de', 'fr', 'it', 'pt', 'pl', 'tr', 'ko', 'nl', 'cs', 'ar', 'es', 'hu'], label="language"), | |
], | |
outputs=gr.Audio(type="filepath", label="Generated audio file"), | |
title="Voice Cloning") | |
iface.launch() |