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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 = torch.device("cuda" if torch.cuda.is_available() else "cpu") |
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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): |
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audio = './harry.wav' |
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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=[gr.Textbox(label='Text')], |
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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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❤️ |
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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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) |
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iface.launch() |
