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