File size: 1,117 Bytes
90010fe
 
 
 
 
 
ad84686
90010fe
 
 
 
 
 
4105c49
90010fe
 
 
 
ad84686
411cb3f
dc9b46b
411cb3f
 
 
ad84686
90010fe
 
 
76b5253
 
a799834
76b5253
90010fe
 
76b5253
90010fe
 
 
 
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

from tts_voice import tts_order_voice
import edge_tts
import gradio as gr
import tempfile
import anyio
import ffmpeg

language_dict = tts_order_voice

async def text_to_speech_edge(text, language_code):
    voice = language_dict[language_code]
    communicate = edge_tts.Communicate(text, voice)
    with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp_file:
        tmp_path = tmp_file.name

    await communicate.save(tmp_path)

    new_temp_path = tmp_path.replace(".mp3", ".wav")
    (
    ffmpeg.input(tmp_path)
    .output(new_temp_path)
    .run()
    )
    return new_temp_path



input_text = gr.inputs.Textbox(lines=5, label="輸入文本")
output_audio = gr.outputs.Audio(type="filepath", label="導出文件")
default_language = list(language_dict.keys())[287]
language = gr.inputs.Dropdown(choices=list(language_dict.keys()), default=default_language, label="語言")


interface = gr.Interface(fn=text_to_speech_edge, inputs=[input_text, language], outputs=[output_audio], title="Edge TTS 文字轉語音")


if __name__ == "__main__":
    anyio.run(interface.launch, backend="asyncio")