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import os |
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os.environ["NUMBA_DISABLE_CACHE"] = "1" |
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import gradio as gr |
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from openvoice import OpenVoice |
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model = OpenVoice(language="en") |
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def clone_and_speak(audio, text): |
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output_path = "output.wav" |
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model.clone_voice( |
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source_audio_path=audio.name, |
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target_text=text, |
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output_path=output_path |
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) |
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return output_path |
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with gr.Blocks() as demo: |
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gr.Markdown("# OpenVoice TTS - Hugging Face Space") |
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with gr.Row(): |
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audio_input = gr.Audio(label="Upload voice to clone", type="file") |
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text_input = gr.Textbox(label="Enter text to synthesize") |
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with gr.Row(): |
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generate_btn = gr.Button("Generate Audio") |
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audio_output = gr.Audio(label="Synthesized Output", type="filepath") |
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generate_btn.click(fn=clone_and_speak, inputs=[audio_input, text_input], outputs=audio_output) |
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demo.launch() |
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