mirror of
https://github.com/linyqh/NarratoAI.git
synced 2025-12-12 11:22:51 +00:00
ee710499b9
- 修改支持的语音列表，仅保留中文语音 - 在主程序中添加代理配置环境变量 -优化剪辑视频函数，改为返回字典类型 - 更新任务服务中的剪辑视频函数，适应新的参数类型 - 修改测试用例中的视频剪辑函数，增加输出路径参数 - 更新脚本控制器中的剪辑视频函数，集成任务 ID 和子视频字典
1480 lines
31 KiB
Python
1480 lines
31 KiB
Python
import os
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import re
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import json
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import traceback
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import edge_tts
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import asyncio
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from loguru import logger
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from typing import List
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from datetime import datetime
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from edge_tts.submaker import mktimestamp
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from xml.sax.saxutils import unescape
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from edge_tts import submaker, SubMaker
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from moviepy.video.tools import subtitles
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from app.config import config
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from app.utils import utils
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def get_all_azure_voices(filter_locals=None) -> list[str]:
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if filter_locals is None:
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filter_locals = ["zh-CN", "en-US", "zh-HK", "zh-TW", "vi-VN"]
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voices_str = """
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Name: af-ZA-AdriNeural
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Gender: Female
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Name: af-ZA-WillemNeural
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Gender: Male
|
||
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Name: am-ET-AmehaNeural
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Gender: Male
|
||
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Name: am-ET-MekdesNeural
|
||
Gender: Female
|
||
|
||
Name: ar-AE-FatimaNeural
|
||
Gender: Female
|
||
|
||
Name: ar-AE-HamdanNeural
|
||
Gender: Male
|
||
|
||
Name: ar-BH-AliNeural
|
||
Gender: Male
|
||
|
||
Name: ar-BH-LailaNeural
|
||
Gender: Female
|
||
|
||
Name: ar-DZ-AminaNeural
|
||
Gender: Female
|
||
|
||
Name: ar-DZ-IsmaelNeural
|
||
Gender: Male
|
||
|
||
Name: ar-EG-SalmaNeural
|
||
Gender: Female
|
||
|
||
Name: ar-EG-ShakirNeural
|
||
Gender: Male
|
||
|
||
Name: ar-IQ-BasselNeural
|
||
Gender: Male
|
||
|
||
Name: ar-IQ-RanaNeural
|
||
Gender: Female
|
||
|
||
Name: ar-JO-SanaNeural
|
||
Gender: Female
|
||
|
||
Name: ar-JO-TaimNeural
|
||
Gender: Male
|
||
|
||
Name: ar-KW-FahedNeural
|
||
Gender: Male
|
||
|
||
Name: ar-KW-NouraNeural
|
||
Gender: Female
|
||
|
||
Name: ar-LB-LaylaNeural
|
||
Gender: Female
|
||
|
||
Name: ar-LB-RamiNeural
|
||
Gender: Male
|
||
|
||
Name: ar-LY-ImanNeural
|
||
Gender: Female
|
||
|
||
Name: ar-LY-OmarNeural
|
||
Gender: Male
|
||
|
||
Name: ar-MA-JamalNeural
|
||
Gender: Male
|
||
|
||
Name: ar-MA-MounaNeural
|
||
Gender: Female
|
||
|
||
Name: ar-OM-AbdullahNeural
|
||
Gender: Male
|
||
|
||
Name: ar-OM-AyshaNeural
|
||
Gender: Female
|
||
|
||
Name: ar-QA-AmalNeural
|
||
Gender: Female
|
||
|
||
Name: ar-QA-MoazNeural
|
||
Gender: Male
|
||
|
||
Name: ar-SA-HamedNeural
|
||
Gender: Male
|
||
|
||
Name: ar-SA-ZariyahNeural
|
||
Gender: Female
|
||
|
||
Name: ar-SY-AmanyNeural
|
||
Gender: Female
|
||
|
||
Name: ar-SY-LaithNeural
|
||
Gender: Male
|
||
|
||
Name: ar-TN-HediNeural
|
||
Gender: Male
|
||
|
||
Name: ar-TN-ReemNeural
|
||
Gender: Female
|
||
|
||
Name: ar-YE-MaryamNeural
|
||
Gender: Female
|
||
|
||
Name: ar-YE-SalehNeural
|
||
Gender: Male
|
||
|
||
Name: az-AZ-BabekNeural
|
||
Gender: Male
|
||
|
||
Name: az-AZ-BanuNeural
|
||
Gender: Female
|
||
|
||
Name: bg-BG-BorislavNeural
|
||
Gender: Male
|
||
|
||
Name: bg-BG-KalinaNeural
|
||
Gender: Female
|
||
|
||
Name: bn-BD-NabanitaNeural
|
||
Gender: Female
|
||
|
||
Name: bn-BD-PradeepNeural
|
||
Gender: Male
|
||
|
||
Name: bn-IN-BashkarNeural
|
||
Gender: Male
|
||
|
||
Name: bn-IN-TanishaaNeural
|
||
Gender: Female
|
||
|
||
Name: bs-BA-GoranNeural
|
||
Gender: Male
|
||
|
||
Name: bs-BA-VesnaNeural
|
||
Gender: Female
|
||
|
||
Name: ca-ES-EnricNeural
|
||
Gender: Male
|
||
|
||
Name: ca-ES-JoanaNeural
|
||
Gender: Female
|
||
|
||
Name: cs-CZ-AntoninNeural
|
||
Gender: Male
|
||
|
||
Name: cs-CZ-VlastaNeural
|
||
Gender: Female
|
||
|
||
Name: cy-GB-AledNeural
|
||
Gender: Male
|
||
|
||
Name: cy-GB-NiaNeural
|
||
Gender: Female
|
||
|
||
Name: da-DK-ChristelNeural
|
||
Gender: Female
|
||
|
||
Name: da-DK-JeppeNeural
|
||
Gender: Male
|
||
|
||
Name: de-AT-IngridNeural
|
||
Gender: Female
|
||
|
||
Name: de-AT-JonasNeural
|
||
Gender: Male
|
||
|
||
Name: de-CH-JanNeural
|
||
Gender: Male
|
||
|
||
Name: de-CH-LeniNeural
|
||
Gender: Female
|
||
|
||
Name: de-DE-AmalaNeural
|
||
Gender: Female
|
||
|
||
Name: de-DE-ConradNeural
|
||
Gender: Male
|
||
|
||
Name: de-DE-FlorianMultilingualNeural
|
||
Gender: Male
|
||
|
||
Name: de-DE-KatjaNeural
|
||
Gender: Female
|
||
|
||
Name: de-DE-KillianNeural
|
||
Gender: Male
|
||
|
||
Name: de-DE-SeraphinaMultilingualNeural
|
||
Gender: Female
|
||
|
||
Name: el-GR-AthinaNeural
|
||
Gender: Female
|
||
|
||
Name: el-GR-NestorasNeural
|
||
Gender: Male
|
||
|
||
Name: en-AU-NatashaNeural
|
||
Gender: Female
|
||
|
||
Name: en-AU-WilliamNeural
|
||
Gender: Male
|
||
|
||
Name: en-CA-ClaraNeural
|
||
Gender: Female
|
||
|
||
Name: en-CA-LiamNeural
|
||
Gender: Male
|
||
|
||
Name: en-GB-LibbyNeural
|
||
Gender: Female
|
||
|
||
Name: en-GB-MaisieNeural
|
||
Gender: Female
|
||
|
||
Name: en-GB-RyanNeural
|
||
Gender: Male
|
||
|
||
Name: en-GB-SoniaNeural
|
||
Gender: Female
|
||
|
||
Name: en-GB-ThomasNeural
|
||
Gender: Male
|
||
|
||
Name: en-HK-SamNeural
|
||
Gender: Male
|
||
|
||
Name: en-HK-YanNeural
|
||
Gender: Female
|
||
|
||
Name: en-IE-ConnorNeural
|
||
Gender: Male
|
||
|
||
Name: en-IE-EmilyNeural
|
||
Gender: Female
|
||
|
||
Name: en-IN-NeerjaExpressiveNeural
|
||
Gender: Female
|
||
|
||
Name: en-IN-NeerjaNeural
|
||
Gender: Female
|
||
|
||
Name: en-IN-PrabhatNeural
|
||
Gender: Male
|
||
|
||
Name: en-KE-AsiliaNeural
|
||
Gender: Female
|
||
|
||
Name: en-KE-ChilembaNeural
|
||
Gender: Male
|
||
|
||
Name: en-NG-AbeoNeural
|
||
Gender: Male
|
||
|
||
Name: en-NG-EzinneNeural
|
||
Gender: Female
|
||
|
||
Name: en-NZ-MitchellNeural
|
||
Gender: Male
|
||
|
||
Name: en-NZ-MollyNeural
|
||
Gender: Female
|
||
|
||
Name: en-PH-JamesNeural
|
||
Gender: Male
|
||
|
||
Name: en-PH-RosaNeural
|
||
Gender: Female
|
||
|
||
Name: en-SG-LunaNeural
|
||
Gender: Female
|
||
|
||
Name: en-SG-WayneNeural
|
||
Gender: Male
|
||
|
||
Name: en-TZ-ElimuNeural
|
||
Gender: Male
|
||
|
||
Name: en-TZ-ImaniNeural
|
||
Gender: Female
|
||
|
||
Name: en-US-AnaNeural
|
||
Gender: Female
|
||
|
||
Name: en-US-AndrewNeural
|
||
Gender: Male
|
||
|
||
Name: en-US-AriaNeural
|
||
Gender: Female
|
||
|
||
Name: en-US-AvaNeural
|
||
Gender: Female
|
||
|
||
Name: en-US-BrianNeural
|
||
Gender: Male
|
||
|
||
Name: en-US-ChristopherNeural
|
||
Gender: Male
|
||
|
||
Name: en-US-EmmaNeural
|
||
Gender: Female
|
||
|
||
Name: en-US-EricNeural
|
||
Gender: Male
|
||
|
||
Name: en-US-GuyNeural
|
||
Gender: Male
|
||
|
||
Name: en-US-JennyNeural
|
||
Gender: Female
|
||
|
||
Name: en-US-MichelleNeural
|
||
Gender: Female
|
||
|
||
Name: en-US-RogerNeural
|
||
Gender: Male
|
||
|
||
Name: en-US-SteffanNeural
|
||
Gender: Male
|
||
|
||
Name: en-ZA-LeahNeural
|
||
Gender: Female
|
||
|
||
Name: en-ZA-LukeNeural
|
||
Gender: Male
|
||
|
||
Name: es-AR-ElenaNeural
|
||
Gender: Female
|
||
|
||
Name: es-AR-TomasNeural
|
||
Gender: Male
|
||
|
||
Name: es-BO-MarceloNeural
|
||
Gender: Male
|
||
|
||
Name: es-BO-SofiaNeural
|
||
Gender: Female
|
||
|
||
Name: es-CL-CatalinaNeural
|
||
Gender: Female
|
||
|
||
Name: es-CL-LorenzoNeural
|
||
Gender: Male
|
||
|
||
Name: es-CO-GonzaloNeural
|
||
Gender: Male
|
||
|
||
Name: es-CO-SalomeNeural
|
||
Gender: Female
|
||
|
||
Name: es-CR-JuanNeural
|
||
Gender: Male
|
||
|
||
Name: es-CR-MariaNeural
|
||
Gender: Female
|
||
|
||
Name: es-CU-BelkysNeural
|
||
Gender: Female
|
||
|
||
Name: es-CU-ManuelNeural
|
||
Gender: Male
|
||
|
||
Name: es-DO-EmilioNeural
|
||
Gender: Male
|
||
|
||
Name: es-DO-RamonaNeural
|
||
Gender: Female
|
||
|
||
Name: es-EC-AndreaNeural
|
||
Gender: Female
|
||
|
||
Name: es-EC-LuisNeural
|
||
Gender: Male
|
||
|
||
Name: es-ES-AlvaroNeural
|
||
Gender: Male
|
||
|
||
Name: es-ES-ElviraNeural
|
||
Gender: Female
|
||
|
||
Name: es-ES-XimenaNeural
|
||
Gender: Female
|
||
|
||
Name: es-GQ-JavierNeural
|
||
Gender: Male
|
||
|
||
Name: es-GQ-TeresaNeural
|
||
Gender: Female
|
||
|
||
Name: es-GT-AndresNeural
|
||
Gender: Male
|
||
|
||
Name: es-GT-MartaNeural
|
||
Gender: Female
|
||
|
||
Name: es-HN-CarlosNeural
|
||
Gender: Male
|
||
|
||
Name: es-HN-KarlaNeural
|
||
Gender: Female
|
||
|
||
Name: es-MX-DaliaNeural
|
||
Gender: Female
|
||
|
||
Name: es-MX-JorgeNeural
|
||
Gender: Male
|
||
|
||
Name: es-NI-FedericoNeural
|
||
Gender: Male
|
||
|
||
Name: es-NI-YolandaNeural
|
||
Gender: Female
|
||
|
||
Name: es-PA-MargaritaNeural
|
||
Gender: Female
|
||
|
||
Name: es-PA-RobertoNeural
|
||
Gender: Male
|
||
|
||
Name: es-PE-AlexNeural
|
||
Gender: Male
|
||
|
||
Name: es-PE-CamilaNeural
|
||
Gender: Female
|
||
|
||
Name: es-PR-KarinaNeural
|
||
Gender: Female
|
||
|
||
Name: es-PR-VictorNeural
|
||
Gender: Male
|
||
|
||
Name: es-PY-MarioNeural
|
||
Gender: Male
|
||
|
||
Name: es-PY-TaniaNeural
|
||
Gender: Female
|
||
|
||
Name: es-SV-LorenaNeural
|
||
Gender: Female
|
||
|
||
Name: es-SV-RodrigoNeural
|
||
Gender: Male
|
||
|
||
Name: es-US-AlonsoNeural
|
||
Gender: Male
|
||
|
||
Name: es-US-PalomaNeural
|
||
Gender: Female
|
||
|
||
Name: es-UY-MateoNeural
|
||
Gender: Male
|
||
|
||
Name: es-UY-ValentinaNeural
|
||
Gender: Female
|
||
|
||
Name: es-VE-PaolaNeural
|
||
Gender: Female
|
||
|
||
Name: es-VE-SebastianNeural
|
||
Gender: Male
|
||
|
||
Name: et-EE-AnuNeural
|
||
Gender: Female
|
||
|
||
Name: et-EE-KertNeural
|
||
Gender: Male
|
||
|
||
Name: fa-IR-DilaraNeural
|
||
Gender: Female
|
||
|
||
Name: fa-IR-FaridNeural
|
||
Gender: Male
|
||
|
||
Name: fi-FI-HarriNeural
|
||
Gender: Male
|
||
|
||
Name: fi-FI-NooraNeural
|
||
Gender: Female
|
||
|
||
Name: fil-PH-AngeloNeural
|
||
Gender: Male
|
||
|
||
Name: fil-PH-BlessicaNeural
|
||
Gender: Female
|
||
|
||
Name: fr-BE-CharlineNeural
|
||
Gender: Female
|
||
|
||
Name: fr-BE-GerardNeural
|
||
Gender: Male
|
||
|
||
Name: fr-CA-AntoineNeural
|
||
Gender: Male
|
||
|
||
Name: fr-CA-JeanNeural
|
||
Gender: Male
|
||
|
||
Name: fr-CA-SylvieNeural
|
||
Gender: Female
|
||
|
||
Name: fr-CA-ThierryNeural
|
||
Gender: Male
|
||
|
||
Name: fr-CH-ArianeNeural
|
||
Gender: Female
|
||
|
||
Name: fr-CH-FabriceNeural
|
||
Gender: Male
|
||
|
||
Name: fr-FR-DeniseNeural
|
||
Gender: Female
|
||
|
||
Name: fr-FR-EloiseNeural
|
||
Gender: Female
|
||
|
||
Name: fr-FR-HenriNeural
|
||
Gender: Male
|
||
|
||
Name: fr-FR-RemyMultilingualNeural
|
||
Gender: Male
|
||
|
||
Name: fr-FR-VivienneMultilingualNeural
|
||
Gender: Female
|
||
|
||
Name: ga-IE-ColmNeural
|
||
Gender: Male
|
||
|
||
Name: ga-IE-OrlaNeural
|
||
Gender: Female
|
||
|
||
Name: gl-ES-RoiNeural
|
||
Gender: Male
|
||
|
||
Name: gl-ES-SabelaNeural
|
||
Gender: Female
|
||
|
||
Name: gu-IN-DhwaniNeural
|
||
Gender: Female
|
||
|
||
Name: gu-IN-NiranjanNeural
|
||
Gender: Male
|
||
|
||
Name: he-IL-AvriNeural
|
||
Gender: Male
|
||
|
||
Name: he-IL-HilaNeural
|
||
Gender: Female
|
||
|
||
Name: hi-IN-MadhurNeural
|
||
Gender: Male
|
||
|
||
Name: hi-IN-SwaraNeural
|
||
Gender: Female
|
||
|
||
Name: hr-HR-GabrijelaNeural
|
||
Gender: Female
|
||
|
||
Name: hr-HR-SreckoNeural
|
||
Gender: Male
|
||
|
||
Name: hu-HU-NoemiNeural
|
||
Gender: Female
|
||
|
||
Name: hu-HU-TamasNeural
|
||
Gender: Male
|
||
|
||
Name: id-ID-ArdiNeural
|
||
Gender: Male
|
||
|
||
Name: id-ID-GadisNeural
|
||
Gender: Female
|
||
|
||
Name: is-IS-GudrunNeural
|
||
Gender: Female
|
||
|
||
Name: is-IS-GunnarNeural
|
||
Gender: Male
|
||
|
||
Name: it-IT-DiegoNeural
|
||
Gender: Male
|
||
|
||
Name: it-IT-ElsaNeural
|
||
Gender: Female
|
||
|
||
Name: it-IT-GiuseppeNeural
|
||
Gender: Male
|
||
|
||
Name: it-IT-IsabellaNeural
|
||
Gender: Female
|
||
|
||
Name: ja-JP-KeitaNeural
|
||
Gender: Male
|
||
|
||
Name: ja-JP-NanamiNeural
|
||
Gender: Female
|
||
|
||
Name: jv-ID-DimasNeural
|
||
Gender: Male
|
||
|
||
Name: jv-ID-SitiNeural
|
||
Gender: Female
|
||
|
||
Name: ka-GE-EkaNeural
|
||
Gender: Female
|
||
|
||
Name: ka-GE-GiorgiNeural
|
||
Gender: Male
|
||
|
||
Name: kk-KZ-AigulNeural
|
||
Gender: Female
|
||
|
||
Name: kk-KZ-DauletNeural
|
||
Gender: Male
|
||
|
||
Name: km-KH-PisethNeural
|
||
Gender: Male
|
||
|
||
Name: km-KH-SreymomNeural
|
||
Gender: Female
|
||
|
||
Name: kn-IN-GaganNeural
|
||
Gender: Male
|
||
|
||
Name: kn-IN-SapnaNeural
|
||
Gender: Female
|
||
|
||
Name: ko-KR-HyunsuNeural
|
||
Gender: Male
|
||
|
||
Name: ko-KR-InJoonNeural
|
||
Gender: Male
|
||
|
||
Name: ko-KR-SunHiNeural
|
||
Gender: Female
|
||
|
||
Name: lo-LA-ChanthavongNeural
|
||
Gender: Male
|
||
|
||
Name: lo-LA-KeomanyNeural
|
||
Gender: Female
|
||
|
||
Name: lt-LT-LeonasNeural
|
||
Gender: Male
|
||
|
||
Name: lt-LT-OnaNeural
|
||
Gender: Female
|
||
|
||
Name: lv-LV-EveritaNeural
|
||
Gender: Female
|
||
|
||
Name: lv-LV-NilsNeural
|
||
Gender: Male
|
||
|
||
Name: mk-MK-AleksandarNeural
|
||
Gender: Male
|
||
|
||
Name: mk-MK-MarijaNeural
|
||
Gender: Female
|
||
|
||
Name: ml-IN-MidhunNeural
|
||
Gender: Male
|
||
|
||
Name: ml-IN-SobhanaNeural
|
||
Gender: Female
|
||
|
||
Name: mn-MN-BataaNeural
|
||
Gender: Male
|
||
|
||
Name: mn-MN-YesuiNeural
|
||
Gender: Female
|
||
|
||
Name: mr-IN-AarohiNeural
|
||
Gender: Female
|
||
|
||
Name: mr-IN-ManoharNeural
|
||
Gender: Male
|
||
|
||
Name: ms-MY-OsmanNeural
|
||
Gender: Male
|
||
|
||
Name: ms-MY-YasminNeural
|
||
Gender: Female
|
||
|
||
Name: mt-MT-GraceNeural
|
||
Gender: Female
|
||
|
||
Name: mt-MT-JosephNeural
|
||
Gender: Male
|
||
|
||
Name: my-MM-NilarNeural
|
||
Gender: Female
|
||
|
||
Name: my-MM-ThihaNeural
|
||
Gender: Male
|
||
|
||
Name: nb-NO-FinnNeural
|
||
Gender: Male
|
||
|
||
Name: nb-NO-PernilleNeural
|
||
Gender: Female
|
||
|
||
Name: ne-NP-HemkalaNeural
|
||
Gender: Female
|
||
|
||
Name: ne-NP-SagarNeural
|
||
Gender: Male
|
||
|
||
Name: nl-BE-ArnaudNeural
|
||
Gender: Male
|
||
|
||
Name: nl-BE-DenaNeural
|
||
Gender: Female
|
||
|
||
Name: nl-NL-ColetteNeural
|
||
Gender: Female
|
||
|
||
Name: nl-NL-FennaNeural
|
||
Gender: Female
|
||
|
||
Name: nl-NL-MaartenNeural
|
||
Gender: Male
|
||
|
||
Name: pl-PL-MarekNeural
|
||
Gender: Male
|
||
|
||
Name: pl-PL-ZofiaNeural
|
||
Gender: Female
|
||
|
||
Name: ps-AF-GulNawazNeural
|
||
Gender: Male
|
||
|
||
Name: ps-AF-LatifaNeural
|
||
Gender: Female
|
||
|
||
Name: pt-BR-AntonioNeural
|
||
Gender: Male
|
||
|
||
Name: pt-BR-FranciscaNeural
|
||
Gender: Female
|
||
|
||
Name: pt-BR-ThalitaNeural
|
||
Gender: Female
|
||
|
||
Name: pt-PT-DuarteNeural
|
||
Gender: Male
|
||
|
||
Name: pt-PT-RaquelNeural
|
||
Gender: Female
|
||
|
||
Name: ro-RO-AlinaNeural
|
||
Gender: Female
|
||
|
||
Name: ro-RO-EmilNeural
|
||
Gender: Male
|
||
|
||
Name: ru-RU-DmitryNeural
|
||
Gender: Male
|
||
|
||
Name: ru-RU-SvetlanaNeural
|
||
Gender: Female
|
||
|
||
Name: si-LK-SameeraNeural
|
||
Gender: Male
|
||
|
||
Name: si-LK-ThiliniNeural
|
||
Gender: Female
|
||
|
||
Name: sk-SK-LukasNeural
|
||
Gender: Male
|
||
|
||
Name: sk-SK-ViktoriaNeural
|
||
Gender: Female
|
||
|
||
Name: sl-SI-PetraNeural
|
||
Gender: Female
|
||
|
||
Name: sl-SI-RokNeural
|
||
Gender: Male
|
||
|
||
Name: so-SO-MuuseNeural
|
||
Gender: Male
|
||
|
||
Name: so-SO-UbaxNeural
|
||
Gender: Female
|
||
|
||
Name: sq-AL-AnilaNeural
|
||
Gender: Female
|
||
|
||
Name: sq-AL-IlirNeural
|
||
Gender: Male
|
||
|
||
Name: sr-RS-NicholasNeural
|
||
Gender: Male
|
||
|
||
Name: sr-RS-SophieNeural
|
||
Gender: Female
|
||
|
||
Name: su-ID-JajangNeural
|
||
Gender: Male
|
||
|
||
Name: su-ID-TutiNeural
|
||
Gender: Female
|
||
|
||
Name: sv-SE-MattiasNeural
|
||
Gender: Male
|
||
|
||
Name: sv-SE-SofieNeural
|
||
Gender: Female
|
||
|
||
Name: sw-KE-RafikiNeural
|
||
Gender: Male
|
||
|
||
Name: sw-KE-ZuriNeural
|
||
Gender: Female
|
||
|
||
Name: sw-TZ-DaudiNeural
|
||
Gender: Male
|
||
|
||
Name: sw-TZ-RehemaNeural
|
||
Gender: Female
|
||
|
||
Name: ta-IN-PallaviNeural
|
||
Gender: Female
|
||
|
||
Name: ta-IN-ValluvarNeural
|
||
Gender: Male
|
||
|
||
Name: ta-LK-KumarNeural
|
||
Gender: Male
|
||
|
||
Name: ta-LK-SaranyaNeural
|
||
Gender: Female
|
||
|
||
Name: ta-MY-KaniNeural
|
||
Gender: Female
|
||
|
||
Name: ta-MY-SuryaNeural
|
||
Gender: Male
|
||
|
||
Name: ta-SG-AnbuNeural
|
||
Gender: Male
|
||
|
||
Name: ta-SG-VenbaNeural
|
||
Gender: Female
|
||
|
||
Name: te-IN-MohanNeural
|
||
Gender: Male
|
||
|
||
Name: te-IN-ShrutiNeural
|
||
Gender: Female
|
||
|
||
Name: th-TH-NiwatNeural
|
||
Gender: Male
|
||
|
||
Name: th-TH-PremwadeeNeural
|
||
Gender: Female
|
||
|
||
Name: tr-TR-AhmetNeural
|
||
Gender: Male
|
||
|
||
Name: tr-TR-EmelNeural
|
||
Gender: Female
|
||
|
||
Name: uk-UA-OstapNeural
|
||
Gender: Male
|
||
|
||
Name: uk-UA-PolinaNeural
|
||
Gender: Female
|
||
|
||
Name: ur-IN-GulNeural
|
||
Gender: Female
|
||
|
||
Name: ur-IN-SalmanNeural
|
||
Gender: Male
|
||
|
||
Name: ur-PK-AsadNeural
|
||
Gender: Male
|
||
|
||
Name: ur-PK-UzmaNeural
|
||
Gender: Female
|
||
|
||
Name: uz-UZ-MadinaNeural
|
||
Gender: Female
|
||
|
||
Name: uz-UZ-SardorNeural
|
||
Gender: Male
|
||
|
||
Name: vi-VN-HoaiMyNeural
|
||
Gender: Female
|
||
|
||
Name: vi-VN-NamMinhNeural
|
||
Gender: Male
|
||
|
||
Name: zh-CN-XiaoxiaoNeural
|
||
Gender: Female
|
||
|
||
Name: zh-CN-XiaoyiNeural
|
||
Gender: Female
|
||
|
||
Name: zh-CN-YunjianNeural
|
||
Gender: Male
|
||
|
||
Name: zh-CN-YunxiNeural
|
||
Gender: Male
|
||
|
||
Name: zh-CN-YunxiaNeural
|
||
Gender: Male
|
||
|
||
Name: zh-CN-YunyangNeural
|
||
Gender: Male
|
||
|
||
Name: zh-CN-liaoning-XiaobeiNeural
|
||
Gender: Female
|
||
|
||
Name: zh-CN-shaanxi-XiaoniNeural
|
||
Gender: Female
|
||
|
||
Name: zh-HK-HiuGaaiNeural
|
||
Gender: Female
|
||
|
||
Name: zh-HK-HiuMaanNeural
|
||
Gender: Female
|
||
|
||
Name: zh-HK-WanLungNeural
|
||
Gender: Male
|
||
|
||
Name: zh-TW-HsiaoChenNeural
|
||
Gender: Female
|
||
|
||
Name: zh-TW-HsiaoYuNeural
|
||
Gender: Female
|
||
|
||
Name: zh-TW-YunJheNeural
|
||
Gender: Male
|
||
|
||
Name: zu-ZA-ThandoNeural
|
||
Gender: Female
|
||
|
||
Name: zu-ZA-ThembaNeural
|
||
Gender: Male
|
||
|
||
|
||
Name: en-US-AvaMultilingualNeural-V2
|
||
Gender: Female
|
||
|
||
Name: en-US-AndrewMultilingualNeural-V2
|
||
Gender: Male
|
||
|
||
Name: en-US-EmmaMultilingualNeural-V2
|
||
Gender: Female
|
||
|
||
Name: en-US-BrianMultilingualNeural-V2
|
||
Gender: Male
|
||
|
||
Name: de-DE-FlorianMultilingualNeural-V2
|
||
Gender: Male
|
||
|
||
Name: de-DE-SeraphinaMultilingualNeural-V2
|
||
Gender: Female
|
||
|
||
Name: fr-FR-RemyMultilingualNeural-V2
|
||
Gender: Male
|
||
|
||
Name: fr-FR-VivienneMultilingualNeural-V2
|
||
Gender: Female
|
||
|
||
Name: zh-CN-XiaoxiaoMultilingualNeural-V2
|
||
Gender: Female
|
||
|
||
Name: zh-CN-YunxiNeural-V2
|
||
Gender: Male
|
||
""".strip()
|
||
voices = []
|
||
name = ""
|
||
for line in voices_str.split("\n"):
|
||
line = line.strip()
|
||
if not line:
|
||
continue
|
||
if line.startswith("Name: "):
|
||
name = line[6:].strip()
|
||
if line.startswith("Gender: "):
|
||
gender = line[8:].strip()
|
||
if name and gender:
|
||
# voices.append({
|
||
# "name": name,
|
||
# "gender": gender,
|
||
# })
|
||
if filter_locals:
|
||
for filter_local in filter_locals:
|
||
if name.lower().startswith(filter_local.lower()):
|
||
voices.append(f"{name}-{gender}")
|
||
else:
|
||
voices.append(f"{name}-{gender}")
|
||
name = ""
|
||
voices.sort()
|
||
return voices
|
||
|
||
|
||
def parse_voice_name(name: str):
|
||
# zh-CN-XiaoyiNeural-Female
|
||
# zh-CN-YunxiNeural-Male
|
||
# zh-CN-XiaoxiaoMultilingualNeural-V2-Female
|
||
name = name.replace("-Female", "").replace("-Male", "").strip()
|
||
return name
|
||
|
||
|
||
def is_azure_v2_voice(voice_name: str):
|
||
voice_name = parse_voice_name(voice_name)
|
||
if voice_name.endswith("-V2"):
|
||
return voice_name.replace("-V2", "").strip()
|
||
return ""
|
||
|
||
|
||
def tts(
|
||
text: str, voice_name: str, voice_rate: float, voice_pitch: float, voice_file: str
|
||
) -> [SubMaker, None]:
|
||
if is_azure_v2_voice(voice_name):
|
||
return azure_tts_v2(text, voice_name, voice_file)
|
||
return azure_tts_v1(text, voice_name, voice_rate, voice_pitch, voice_file)
|
||
|
||
|
||
def convert_rate_to_percent(rate: float) -> str:
|
||
if rate == 1.0:
|
||
return "+0%"
|
||
percent = round((rate - 1.0) * 100)
|
||
if percent > 0:
|
||
return f"+{percent}%"
|
||
else:
|
||
return f"{percent}%"
|
||
|
||
|
||
def convert_pitch_to_percent(rate: float) -> str:
|
||
if rate == 1.0:
|
||
return "+0Hz"
|
||
percent = round((rate - 1.0) * 100)
|
||
if percent > 0:
|
||
return f"+{percent}Hz"
|
||
else:
|
||
return f"{percent}Hz"
|
||
|
||
|
||
def azure_tts_v1(
|
||
text: str, voice_name: str, voice_rate: float, voice_pitch: float, voice_file: str
|
||
) -> [SubMaker, None]:
|
||
voice_name = parse_voice_name(voice_name)
|
||
text = text.strip()
|
||
rate_str = convert_rate_to_percent(voice_rate)
|
||
pitch_str = convert_pitch_to_percent(voice_pitch)
|
||
for i in range(3):
|
||
try:
|
||
logger.info(f"start, voice name: {voice_name}, try: {i + 1}")
|
||
|
||
async def _do() -> SubMaker:
|
||
communicate = edge_tts.Communicate(text, voice_name, rate=rate_str, pitch=pitch_str, proxy=config.proxy.get("http"))
|
||
sub_maker = edge_tts.SubMaker()
|
||
with open(voice_file, "wb") as file:
|
||
async for chunk in communicate.stream():
|
||
if chunk["type"] == "audio":
|
||
file.write(chunk["data"])
|
||
elif chunk["type"] == "WordBoundary":
|
||
sub_maker.create_sub(
|
||
(chunk["offset"], chunk["duration"]), chunk["text"]
|
||
)
|
||
return sub_maker
|
||
# 判断音频文件是否一件存在
|
||
if os.path.exists(voice_file):
|
||
logger.info(f"voice file exists, skip tts: {voice_file}")
|
||
continue
|
||
sub_maker = asyncio.run(_do())
|
||
if not sub_maker or not sub_maker.subs:
|
||
logger.warning(f"failed, sub_maker is None or sub_maker.subs is None")
|
||
continue
|
||
|
||
logger.info(f"completed, output file: {voice_file}")
|
||
return sub_maker
|
||
except Exception as e:
|
||
logger.error(f"failed, error: {str(e)}")
|
||
return None
|
||
|
||
|
||
def azure_tts_v2(text: str, voice_name: str, voice_file: str) -> [SubMaker, None]:
|
||
voice_name = is_azure_v2_voice(voice_name)
|
||
if not voice_name:
|
||
logger.error(f"invalid voice name: {voice_name}")
|
||
raise ValueError(f"invalid voice name: {voice_name}")
|
||
text = text.strip()
|
||
|
||
def _format_duration_to_offset(duration) -> int:
|
||
if isinstance(duration, str):
|
||
time_obj = datetime.strptime(duration, "%H:%M:%S.%f")
|
||
milliseconds = (
|
||
(time_obj.hour * 3600000)
|
||
+ (time_obj.minute * 60000)
|
||
+ (time_obj.second * 1000)
|
||
+ (time_obj.microsecond // 1000)
|
||
)
|
||
return milliseconds * 10000
|
||
|
||
if isinstance(duration, int):
|
||
return duration
|
||
|
||
return 0
|
||
|
||
for i in range(3):
|
||
try:
|
||
logger.info(f"start, voice name: {voice_name}, try: {i + 1}")
|
||
|
||
import azure.cognitiveservices.speech as speechsdk
|
||
|
||
sub_maker = SubMaker()
|
||
|
||
def speech_synthesizer_word_boundary_cb(evt: speechsdk.SessionEventArgs):
|
||
# print('WordBoundary event:')
|
||
# print('\tBoundaryType: {}'.format(evt.boundary_type))
|
||
# print('\tAudioOffset: {}ms'.format((evt.audio_offset + 5000)))
|
||
# print('\tDuration: {}'.format(evt.duration))
|
||
# print('\tText: {}'.format(evt.text))
|
||
# print('\tTextOffset: {}'.format(evt.text_offset))
|
||
# print('\tWordLength: {}'.format(evt.word_length))
|
||
|
||
duration = _format_duration_to_offset(str(evt.duration))
|
||
offset = _format_duration_to_offset(evt.audio_offset)
|
||
sub_maker.subs.append(evt.text)
|
||
sub_maker.offset.append((offset, offset + duration))
|
||
|
||
# Creates an instance of a speech config with specified subscription key and service region.
|
||
speech_key = config.azure.get("speech_key", "")
|
||
service_region = config.azure.get("speech_region", "")
|
||
audio_config = speechsdk.audio.AudioOutputConfig(
|
||
filename=voice_file, use_default_speaker=True
|
||
)
|
||
speech_config = speechsdk.SpeechConfig(
|
||
subscription=speech_key, region=service_region
|
||
)
|
||
speech_config.speech_synthesis_voice_name = voice_name
|
||
# speech_config.set_property(property_id=speechsdk.PropertyId.SpeechServiceResponse_RequestSentenceBoundary,
|
||
# value='true')
|
||
speech_config.set_property(
|
||
property_id=speechsdk.PropertyId.SpeechServiceResponse_RequestWordBoundary,
|
||
value="true",
|
||
)
|
||
|
||
speech_config.set_speech_synthesis_output_format(
|
||
speechsdk.SpeechSynthesisOutputFormat.Audio48Khz192KBitRateMonoMp3
|
||
)
|
||
speech_synthesizer = speechsdk.SpeechSynthesizer(
|
||
audio_config=audio_config, speech_config=speech_config
|
||
)
|
||
speech_synthesizer.synthesis_word_boundary.connect(
|
||
speech_synthesizer_word_boundary_cb
|
||
)
|
||
|
||
result = speech_synthesizer.speak_text_async(text).get()
|
||
if result.reason == speechsdk.ResultReason.SynthesizingAudioCompleted:
|
||
logger.success(f"azure v2 speech synthesis succeeded: {voice_file}")
|
||
return sub_maker
|
||
elif result.reason == speechsdk.ResultReason.Canceled:
|
||
cancellation_details = result.cancellation_details
|
||
logger.error(
|
||
f"azure v2 speech synthesis canceled: {cancellation_details.reason}"
|
||
)
|
||
if cancellation_details.reason == speechsdk.CancellationReason.Error:
|
||
logger.error(
|
||
f"azure v2 speech synthesis error: {cancellation_details.error_details}"
|
||
)
|
||
logger.info(f"completed, output file: {voice_file}")
|
||
except Exception as e:
|
||
logger.error(f"failed, error: {str(e)}")
|
||
return None
|
||
|
||
|
||
def _format_text(text: str) -> str:
|
||
# text = text.replace("\n", " ")
|
||
text = text.replace("[", " ")
|
||
text = text.replace("]", " ")
|
||
text = text.replace("(", " ")
|
||
text = text.replace(")", " ")
|
||
text = text.replace("{", " ")
|
||
text = text.replace("}", " ")
|
||
text = text.strip()
|
||
return text
|
||
|
||
|
||
def create_subtitle_from_multiple(text: str, sub_maker_list: List[SubMaker], list_script: List[dict],
|
||
subtitle_file: str):
|
||
"""
|
||
根据多个 SubMaker 对象、完整文本和原始脚本创建优化的字幕文件
|
||
1. 使用原始脚本中的时间戳
|
||
2. 跳过 OST 为 true 的部分
|
||
3. 将字幕文件按照标点符号分割成多行
|
||
4. 根据完整文本分段，保持原文的语句结构
|
||
5. 生成新的字幕文件，时间戳包含小时单位
|
||
"""
|
||
text = _format_text(text)
|
||
sentences = utils.split_string_by_punctuations(text)
|
||
|
||
def formatter(idx: int, start_time: str, end_time: str, sub_text: str) -> str:
|
||
return f"{idx}\n{start_time.replace('.', ',')} --> {end_time.replace('.', ',')}\n{sub_text}\n"
|
||
|
||
sub_items = []
|
||
sub_index = 0
|
||
sentence_index = 0
|
||
|
||
try:
|
||
sub_maker_index = 0
|
||
for script_item in list_script:
|
||
if script_item['OST']:
|
||
continue
|
||
|
||
start_time, end_time = script_item['new_timestamp'].split('-')
|
||
if sub_maker_index >= len(sub_maker_list):
|
||
logger.error(f"Sub maker list index out of range: {sub_maker_index}")
|
||
break
|
||
sub_maker = sub_maker_list[sub_maker_index]
|
||
sub_maker_index += 1
|
||
|
||
script_duration = utils.time_to_seconds(end_time) - utils.time_to_seconds(start_time)
|
||
audio_duration = get_audio_duration(sub_maker)
|
||
time_ratio = script_duration / audio_duration if audio_duration > 0 else 1
|
||
|
||
current_sub = ""
|
||
current_start = None
|
||
current_end = None
|
||
|
||
for offset, sub in zip(sub_maker.offset, sub_maker.subs):
|
||
sub = unescape(sub).strip()
|
||
sub_start = utils.seconds_to_time(utils.time_to_seconds(start_time) + offset[0] / 10000000 * time_ratio)
|
||
sub_end = utils.seconds_to_time(utils.time_to_seconds(start_time) + offset[1] / 10000000 * time_ratio)
|
||
|
||
if current_start is None:
|
||
current_start = sub_start
|
||
current_end = sub_end
|
||
|
||
current_sub += sub
|
||
|
||
# 检查当前累积的字幕是否匹配下一个句子
|
||
while sentence_index < len(sentences) and sentences[sentence_index] in current_sub:
|
||
sub_index += 1
|
||
line = formatter(
|
||
idx=sub_index,
|
||
start_time=current_start,
|
||
end_time=current_end,
|
||
sub_text=sentences[sentence_index].strip(),
|
||
)
|
||
sub_items.append(line)
|
||
current_sub = current_sub.replace(sentences[sentence_index], "", 1).strip()
|
||
current_start = current_end
|
||
sentence_index += 1
|
||
|
||
# 如果当前字幕长度超过15个字符，也生成一个新的字幕项
|
||
if len(current_sub) > 15:
|
||
sub_index += 1
|
||
line = formatter(
|
||
idx=sub_index,
|
||
start_time=current_start,
|
||
end_time=current_end,
|
||
sub_text=current_sub.strip(),
|
||
)
|
||
sub_items.append(line)
|
||
current_sub = ""
|
||
current_start = current_end
|
||
|
||
# 处理剩余的文本
|
||
if current_sub.strip():
|
||
sub_index += 1
|
||
line = formatter(
|
||
idx=sub_index,
|
||
start_time=current_start,
|
||
end_time=current_end,
|
||
sub_text=current_sub.strip(),
|
||
)
|
||
sub_items.append(line)
|
||
|
||
if len(sub_items) == 0:
|
||
logger.error("No subtitle items generated")
|
||
return
|
||
|
||
with open(subtitle_file, "w", encoding="utf-8") as file:
|
||
file.write("\n".join(sub_items))
|
||
|
||
logger.info(f"completed, subtitle file created: {subtitle_file}")
|
||
except Exception as e:
|
||
logger.error(f"failed, error: {str(e)}")
|
||
traceback.print_exc()
|
||
|
||
|
||
def create_subtitle(sub_maker: submaker.SubMaker, text: str, subtitle_file: str):
|
||
"""
|
||
优化字幕文件
|
||
1. 将字幕文件按照标点符号分割成多行
|
||
2. 逐行匹配字幕文件中的文本
|
||
3. 生成新的字幕文件
|
||
"""
|
||
|
||
text = _format_text(text)
|
||
|
||
def formatter(idx: int, start_time: float, end_time: float, sub_text: str) -> str:
|
||
"""
|
||
1
|
||
00:00:00,000 --> 00:00:02,360
|
||
跑步是一项简单易行的运动
|
||
"""
|
||
start_t = mktimestamp(start_time).replace(".", ",")
|
||
end_t = mktimestamp(end_time).replace(".", ",")
|
||
return f"{idx}\n" f"{start_t} --> {end_t}\n" f"{sub_text}\n"
|
||
|
||
start_time = -1.0
|
||
sub_items = []
|
||
sub_index = 0
|
||
|
||
script_lines = utils.split_string_by_punctuations(text)
|
||
|
||
def match_line(_sub_line: str, _sub_index: int):
|
||
if len(script_lines) <= _sub_index:
|
||
return ""
|
||
|
||
_line = script_lines[_sub_index]
|
||
if _sub_line == _line:
|
||
return script_lines[_sub_index].strip()
|
||
|
||
_sub_line_ = re.sub(r"[^\w\s]", "", _sub_line)
|
||
_line_ = re.sub(r"[^\w\s]", "", _line)
|
||
if _sub_line_ == _line_:
|
||
return _line_.strip()
|
||
|
||
_sub_line_ = re.sub(r"\W+", "", _sub_line)
|
||
_line_ = re.sub(r"\W+", "", _line)
|
||
if _sub_line_ == _line_:
|
||
return _line.strip()
|
||
|
||
return ""
|
||
|
||
sub_line = ""
|
||
|
||
try:
|
||
for _, (offset, sub) in enumerate(zip(sub_maker.offset, sub_maker.subs)):
|
||
_start_time, end_time = offset
|
||
if start_time < 0:
|
||
start_time = _start_time
|
||
|
||
sub = unescape(sub)
|
||
sub_line += sub
|
||
sub_text = match_line(sub_line, sub_index)
|
||
if sub_text:
|
||
sub_index += 1
|
||
line = formatter(
|
||
idx=sub_index,
|
||
start_time=start_time,
|
||
end_time=end_time,
|
||
sub_text=sub_text,
|
||
)
|
||
sub_items.append(line)
|
||
start_time = -1.0
|
||
sub_line = ""
|
||
|
||
if len(sub_items) == len(script_lines):
|
||
with open(subtitle_file, "w", encoding="utf-8") as file:
|
||
file.write("\n".join(sub_items) + "\n")
|
||
try:
|
||
sbs = subtitles.file_to_subtitles(subtitle_file, encoding="utf-8")
|
||
duration = max([tb for ((ta, tb), txt) in sbs])
|
||
logger.info(
|
||
f"completed, subtitle file created: {subtitle_file}, duration: {duration}"
|
||
)
|
||
except Exception as e:
|
||
logger.error(f"failed, error: {str(e)}")
|
||
os.remove(subtitle_file)
|
||
else:
|
||
logger.warning(
|
||
f"failed, sub_items len: {len(sub_items)}, script_lines len: {len(script_lines)}"
|
||
)
|
||
|
||
except Exception as e:
|
||
logger.error(f"failed, error: {str(e)}")
|
||
|
||
|
||
def get_audio_duration(sub_maker: submaker.SubMaker):
|
||
"""
|
||
获取音频时长
|
||
"""
|
||
if not sub_maker.offset:
|
||
return 0.0
|
||
return sub_maker.offset[-1][1] / 10000000
|
||
|
||
|
||
def tts_multiple(task_id: str, list_script: list, voice_name: str, voice_rate: float, voice_pitch: float, force_regenerate: bool = True):
|
||
"""
|
||
根据JSON文件中的多段文本进行TTS转换
|
||
|
||
:param task_id: 任务ID
|
||
:param list_script: 脚本列表
|
||
:param voice_name: 语音名称
|
||
:param voice_rate: 语音速率
|
||
:param force_regenerate: 是否强制重新生成已存在的音频文件
|
||
:return: 生成的音频文件列表
|
||
"""
|
||
voice_name = parse_voice_name(voice_name)
|
||
output_dir = utils.task_dir(task_id)
|
||
audio_files = []
|
||
sub_maker_list = []
|
||
|
||
for item in list_script:
|
||
if item['OST'] != 1:
|
||
# 将时间戳中的冒号替换为下划线
|
||
timestamp = item['new_timestamp'].replace(':', '_')
|
||
audio_file = os.path.join(output_dir, f"audio_{timestamp}.mp3")
|
||
|
||
# 检查文件是否已存在，如存在且不强制重新生成，则跳过
|
||
if os.path.exists(audio_file) and not force_regenerate:
|
||
logger.info(f"音频文件已存在，跳过生成: {audio_file}")
|
||
audio_files.append(audio_file)
|
||
continue
|
||
|
||
text = item['narration']
|
||
|
||
sub_maker = tts(
|
||
text=text,
|
||
voice_name=voice_name,
|
||
voice_rate=voice_rate,
|
||
voice_pitch=voice_pitch,
|
||
voice_file=audio_file,
|
||
)
|
||
|
||
if sub_maker is None:
|
||
logger.error(f"无法为时间戳 {timestamp} 生成音频; "
|
||
f"如果您在中国，请使用VPN。或者手动选择 zh-CN-YunyangNeural 等角色；"
|
||
f"或者使用其他 tts 引擎")
|
||
continue
|
||
|
||
audio_files.append(audio_file)
|
||
sub_maker_list.append(sub_maker)
|
||
logger.info(f"已生成音频文件: {audio_file}")
|
||
|
||
return audio_files, sub_maker_list
|
||
|
||
|
||
if __name__ == "__main__":
|
||
voice_name = "zh-CN-YunyangNeural"
|
||
# voice_name = "af-ZA-AdriNeural"
|
||
voice_name = parse_voice_name(voice_name)
|
||
print(voice_name)
|
||
|
||
with open("../../resource/scripts/test.json", 'r', encoding='utf-8') as f:
|
||
data = json.load(f)
|
||
|
||
audio_files, sub_maker_list = tts_multiple(task_id="12312312", list_script=data, voice_name=voice_name, voice_rate=1)
|
||
|
||
full_text = " ".join([item['narration'] for item in data if not item['OST']])
|
||
subtitle_file = os.path.join(utils.task_dir("12312312"), "subtitle_multiple.srt")
|
||
create_subtitle_from_multiple(full_text, sub_maker_list, data, subtitle_file)
|
||
print(f"生成的音频文件列表: {audio_files}")
|
||
print(f"生成的字幕文件: {subtitle_file}")
|
||
|
||
# text = " ".join([item['narration'] for item in data])
|
||
# sub_marks = tts(text=text, voice_name=voice_name, voice_rate=1, voice_file="../../storage/tasks/12312312/aaa.mp3")
|
||
# create_subtitle(text=text, sub_maker=sub_marks, subtitle_file="../../storage/tasks/12312312/subtitle_123.srt")
|