| import subprocess |
|
|
| |
| 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 |
|
|
| |
| device = "cuda" if torch.cuda.is_available() else "cpu" |
|
|
| |
| tts = TTS("tts_models/multilingual/multi-dataset/xtts_v2").to(device) |
|
|
| def voice_clone(text: str, speaker_wav: str, language: str): |
| |
| 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, theme="Nymbo/Nymbo_Theme", |
| 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() |