import gradio as gr
from gradio.themes.utils import sizes
from bark import SAMPLE_RATE, generate_audio, preload_models
import numpy as np


theme = gr.themes.Default(radius_size=sizes.radius_none).set(
    block_label_text_color = '#4D63FF',
    block_title_text_color = '#4D63FF',
    button_primary_text_color = '#4D63FF',
    button_primary_background_fill='#FFFFFF',
    button_primary_border_color='#4D63FF',
    button_primary_background_fill_hover='#EDEFFF',
)


preload_models()


def text2audio(text):
    audio_arr = generate_audio(text)
    audio_arr = (audio_arr * 32767).astype(np.int16)

    return (SAMPLE_RATE, audio_arr)


with gr.Blocks(theme=theme, css="footer {visibility: hidden}") as demo:
    gr.Markdown("""
    <div align='center' ><font size='60'>语音合成</font></div>
    """)
    with gr.Row():
        with gr.Column():
            box1 = gr.Textbox(label="文本")
            with gr.Row():
                button = gr.Button("提交", variant="primary")
                clear = gr.Button("清除", variant="primary")
        box2 = gr.Audio(label="音频")

    button.click(fn=text2audio, inputs=box1, outputs=box2)
    clear.click(lambda x: gr.update(value=''), [], [box1])
    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")


if __name__ == "__main__":
    demo.queue(concurrency_count=3).launch(server_name = "0.0.0.0")