镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-06 06:26:47 +00:00
33 行
1.2 KiB
Python
33 行
1.2 KiB
Python
import edge_tts
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import os
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import httpx
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from toolbox import get_conf
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async def test_tts():
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async with httpx.AsyncClient() as client:
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try:
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# Forward the request to the target service
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import tempfile
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import edge_tts
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import wave
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import uuid
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from pydub import AudioSegment
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voice = get_conf("EDGE_TTS_VOICE")
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tts = edge_tts.Communicate(text="测试", voice=voice)
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temp_folder = tempfile.gettempdir()
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temp_file_name = str(uuid.uuid4().hex)
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temp_file = os.path.join(temp_folder, f'{temp_file_name}.mp3')
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await tts.save(temp_file)
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try:
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mp3_audio = AudioSegment.from_file(temp_file, format="mp3")
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mp3_audio.export(temp_file, format="wav")
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with open(temp_file, 'rb') as wav_file: t = wav_file.read()
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except:
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raise RuntimeError("ffmpeg未安装,无法处理EdgeTTS音频。安装方法见`https://github.com/jiaaro/pydub#getting-ffmpeg-set-up`")
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except httpx.RequestError as e:
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raise RuntimeError(f"请求失败: {e}")
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if __name__ == "__main__":
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import asyncio
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asyncio.run(test_tts()) |