46 lines
1.5 KiB
Python
46 lines
1.5 KiB
Python
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import gradio as gr
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from gradio.themes.utils import sizes
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from bark import SAMPLE_RATE, generate_audio, preload_models
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import numpy as np
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theme = gr.themes.Default(radius_size=sizes.radius_none).set(
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block_label_text_color = '#4D63FF',
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block_title_text_color = '#4D63FF',
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button_primary_text_color = '#4D63FF',
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button_primary_background_fill='#FFFFFF',
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button_primary_border_color='#4D63FF',
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button_primary_background_fill_hover='#EDEFFF',
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)
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preload_models()
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def text2audio(text):
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audio_arr = generate_audio(text)
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audio_arr = (audio_arr * 32767).astype(np.int16)
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return (SAMPLE_RATE, audio_arr)
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with gr.Blocks(theme=theme, css="footer {visibility: hidden}") as demo:
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gr.Markdown("""
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<div align='center' ><font size='60'>语音合成</font></div>
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""")
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with gr.Row():
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with gr.Column():
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box1 = gr.Textbox(label="文本")
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with gr.Row():
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button = gr.Button("提交", variant="primary")
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clear = gr.Button("清除", variant="primary")
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box2 = gr.Audio(label="音频")
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button.click(fn=text2audio, inputs=box1, outputs=box2)
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clear.click(lambda x: gr.update(value=''), [], [box1])
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examples = gr.Examples(examples=['Hello, my name is Suno. And, uh — and I like pizza. [laughs] But I also have other interests such as playing tic tac toe.'], inputs=[box1], label="例子")
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if __name__ == "__main__":
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demo.queue(concurrency_count=3).launch(server_name = "0.0.0.0")
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