Spaces:
				
			
			
	
			
			
					
		Running
		
	
	
	
			
			
	
	
	
	
		
		
					
		Running
		
	| 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(label="Input the text.The limit is 300 symbols", max_lines=3), gr.Audio(type="filepath", label="Upload audio file"), gr.Radio(label="Language", choices=["ru", "en", "zh-cn", "de", "fr", "it", "pt", "pl", "tr", "ko", "nl", "cs", "ar", "es", "hu"], value="en")], | |
| outputs=gr.Audio(type="filepath", label="Output"), | |
| title="Voice Cloning") | |
| iface.launch() |