File size: 3,752 Bytes
0d53fd0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 | import gradio as gr
import edge_tts
import asyncio
import os
SUPPORTED_VOICES = {
'Xiaoxiao-晓晓': 'zh-CN-XiaoxiaoNeural',
'Xiaoyi-晓伊': 'zh-CN-XiaoyiNeural',
'Yunjian-云健': 'zh-CN-YunjianNeural',
'Yunxi-云希': 'zh-CN-YunxiNeural',
'Yunxia-云夏': 'zh-CN-YunxiaNeural',
'Yunyang-云扬': 'zh-CN-YunyangNeural',
'liaoning-Xiaobei-晓北辽宁': 'zh-CN-liaoning-XiaobeiNeural',
'shaanxi-Xiaoni-陕西晓妮': 'zh-CN-shaanxi-XiaoniNeural'
}
async def changeVoice(voices):
example = SUPPORTED_VOICES[voices]
example_file = os.path.join(os.path.dirname(__file__), "example/"+example+".wav")
return example_file
async def textToSpeech(text, voices, rate, volume):
output_file = "output.mp3"
voices = SUPPORTED_VOICES[voices]
rates = "+" + str(rate) + "%" if rate >= 0 else str(rate) + "%"
volumes = "+" + str(volume) + "%" if volume >= 0 else str(volume) + "%"
communicate = edge_tts.Communicate(text, voices, rate=rates, volume=volumes, proxy=None)
await communicate.save(output_file)
audio_file = os.path.join(os.path.dirname(__file__), "output.mp3")
if os.path.exists(audio_file):
return audio_file
else:
raise gr.Error("转换失败！")
async def clearSpeech():
output_file = os.path.join(os.path.dirname(__file__), "output.mp3")
if os.path.exists(output_file):
os.remove(output_file)
return None, None
async def main():
with gr.Blocks(title="Edge TTS") as demo:
gr.Markdown("""
# Edge TTS
""")
with gr.Row():
with gr.Column():
text = gr.TextArea(label="文本", elem_classes="text-area")
btn = gr.Button("生成", elem_id="submit-btn")
with gr.Column():
voices = gr.Dropdown(choices=[
"Xiaoxiao-晓晓", "Xiaoyi-晓伊", "Yunjian-云健", "Yunxi-云希",
"Yunxia-云夏", "Yunyang-云扬", "liaoning-Xiaobei-晓北辽宁",
"shaanxi-Xiaoni-陕西晓妮"
],
value="Xiaoxiao-晓晓",
label="发音",
info="请选择发音人",
interactive=True)
example = gr.Audio(label="试听",
value="example/zh-CN-XiaoxiaoNeural.wav",
interactive=False,
elem_classes="example")
voices.change(fn=changeVoice, inputs=voices, outputs=example)
rate = gr.Slider(-100,
100,
step=1,
value=0,
label="语速增减",
info="加快或减慢语速",
interactive=True)
volume = gr.Slider(-100,
100,
step=1,
value=0,
label="音调增减",
info="加大或减小音调",
interactive=True)
audio = gr.Audio(label="输出",
interactive=False,
elem_classes="audio")
clear = gr.Button("清除", elem_id="clear-btn")
btn.click(fn=textToSpeech,
inputs=[text, voices, rate, volume],
outputs=[audio])
clear.click(fn=clearSpeech, outputs=[text, audio])
if __name__ == "__main__":
await demo.launch()
asyncio.run(main())
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