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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=[gr.Textbox(label='Text'),gr.Audio(type='filepath', label='Voice reference audio file')], |
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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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Duplicated from https://huggingface.co/spaces/tonyassi/voice-clone |
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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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examples=[["Hey, it's me Messmer the Impaler. Type in whatever you'd like me to say.","./audio/Messmer_sample.mp3"], |
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["Hey! It's me Jolán, from the Elden Ring Shadow of the Erdtree. Type in whatever you'd like me to say.","./audio/20240728_171001.mp3"], |
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["It's me Vito Corleone, from the Godfather. Type in whatever you'd like me to say.","./audio/Godfather.wav"], |
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["Hey, it's me Megan Fox from Transformers. Type in whatever you'd like me to say.","./audio/Megan-Fox.mp3"], |
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["Hey there, it's me Jeff Goldblum. Type in whatever you'd like me to say.","./audio/Jeff-Goldblum.mp3"],] |
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) |
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iface.queue(api_open=True) |
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iface.launch(share=True, debug=True) |
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