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.Audio(type="filepath", label="Voice spectrogram"), gr.Textbox(label="Text", info="One or two sentences at a time is better", max_lines=3), gr.Radio(label="language", info="Select an output language for the synthesised speech", choices=["en", "zh-cn", "ja", "de", "fr", "it", "pt", "pl", "tr", "ko", "nl", "cs", "ar", "es", "hu", "ru"], value="en")], outputs=gr.Audio(type="filepath", label="Synthesised spectrogram"), title="Voice Cloning") iface.launch((), debug=True)