Spaces:
Sleeping
Sleeping
File size: 1,295 Bytes
a5c86e8 1d2e2ec 5457abc 1d2e2ec a5c86e8 9b2107c 9ec632b 9b2107c 5e91596 9b2107c a6232eb deeed25 8412594 deeed25 9b2107c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 |
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, 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() |