| import spaces |
| import gradio as gr |
| import torch |
| from TTS.api import TTS |
| import os |
| os.environ["COQUI_TOS_AGREED"] = "1" |
|
|
| device = "cuda" |
|
|
| tts = TTS("tts_models/multilingual/multi-dataset/xtts_v2").to(device) |
|
|
| @spaces.GPU(enable_queue=True) |
| def clone(text, audio): |
| tts.tts_to_file(text=text, speaker_wav=audio, language="it", file_path="./output.wav") |
| return "./output.wav" |
|
|
| iface = gr.Interface(fn=clone, |
| inputs=[gr.Textbox(label='Text'),gr.Audio(type='filepath', label='Voice reference audio file')], |
| outputs=gr.Audio(type='filepath'), |
| title='Voice Clone', |
| description=""" |
| by [Tony Assi](https://www.tonyassi.com/) |
| |
| Please ❤️ this Space. I build custom AI apps for companies. <a href="mailto: tony.assi.media@gmail.com">Email me</a> for business inquiries. |
| """, |
| theme = gr.themes.Base(primary_hue="teal",secondary_hue="teal",neutral_hue="slate"), |
|
|
| iface.launch() |
