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="en", file_path="./output.wav") return "./output.wav" iface = gr.Interface(fn=clone, inputs=["text",gr.Audio(type='filepath')], 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. Email me for business inquiries. """, theme = gr.themes.Base(primary_hue="teal",secondary_hue="teal",neutral_hue="slate"), examples=[["Hey! It's me Dorthy, from the Wizard of Oz. Type in whatever you'd like me to say.","./audio/Wizard-of-Oz-Dorthy.wav"], ["It's me Vito Corleone, from the Godfather. Type in whatever you'd like me to say.","./audio/Godfather.wav"], ["Hey, it's me Paris Hilton. Type in whatever you'd like me to say.","./audio/Paris-Hilton.mp3"],]) iface.launch()