import os import asyncio import time import uuid import json import edge_tts import re import xml.sax.saxutils from edge_tts import SubMaker, submaker from edge_tts.submaker import mktimestamp from moviepy.video.tools import subtitles from loguru import logger from typing import Tuple from xml.sax.saxutils import unescape PUNCTUATIONS = [ "?", ",", ".", "、", ";", ":", "!", "…", "？", "，", "。", "、", "；", "：", "！", "...", ] def split_string_by_punctuations(s): result = [] txt = "" previous_char = "" next_char = "" for i in range(len(s)): char = s[i] if char == "\n": if txt.strip(): # 只有在非空的情况下才添加 result.append(txt.strip()) txt = "" continue if i > 0: previous_char = s[i - 1] if i < len(s) - 1: next_char = s[i + 1] if char == "." and previous_char.isdigit() and next_char.isdigit(): txt += char continue if char not in PUNCTUATIONS: txt += char else: if txt.strip(): # 只有在非空的情况下才添加 result.append(txt.strip()) txt = "" if txt.strip(): # 最后一段如果非空也要添加 result.append(txt.strip()) # 过滤掉空字符串和只包含标点符号的片段 def is_valid_segment(segment): # 去掉所有标点符号后还有内容的才是有效片段 return bool(re.sub(r'[^\w\s]', '', segment).strip()) result = list(filter(is_valid_segment, result)) return result def get_all_azure_voices(filter_locals=None) -> list[str]: if filter_locals is None: filter_locals = ["zh-CN", "en-US", "zh-TW", "ja-JP", "ko-KR"] voices_str = """ Name: af-ZA-AdriNeural Gender: Female Name: af-ZA-WillemNeural Gender: Male Name: am-ET-AmehaNeural Gender: Male 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-AndrewMultilingualNeural Gender: Male Name: en-US-AndrewNeural Gender: Male Name: en-US-AriaNeural Gender: Female Name: en-US-AvaMultilingualNeural Gender: Female Name: en-US-AvaNeural Gender: Female Name: en-US-BrianMultilingualNeural Gender: Male Name: en-US-BrianNeural Gender: Male Name: en-US-ChristopherNeural Gender: Male Name: en-US-EmmaMultilingualNeural Gender: Female 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-GiuseppeMultilingualNeural Gender: Male Name: it-IT-IsabellaNeural Gender: Female Name: iu-Cans-CA-SiqiniqNeural Gender: Female Name: iu-Cans-CA-TaqqiqNeural Gender: Male Name: iu-Latn-CA-SiqiniqNeural Gender: Female Name: iu-Latn-CA-TaqqiqNeural Gender: Male 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-HyunsuMultilingualNeural 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-ThalitaMultilingualNeural 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 """.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 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}%" async def generate_voice(text: str, voice_name: str, voice_rate: float = 0, audio_file: str = None, subtitle_file: str = None) -> Tuple[str, str]: """生成语音和字幕 Args: text (str): 文本内容 voice_name (str): 语音名称 voice_rate (float, optional): 语音速率. Defaults to 0. audio_file (str, optional): 语音文件路径. Defaults to None. subtitle_file (str, optional): 字幕文件路径. Defaults to None. Returns: Tuple[str, str]: 语音文件路径, 字幕文件路径 """ if audio_file is None: audio_file = f"temp_{uuid.uuid4()}.mp3" if subtitle_file is None: subtitle_file = f"temp_{uuid.uuid4()}.srt" # 生成语音 sub_maker = await edge_tts_voice(text, voice_name, audio_file, voice_rate) # 生成字幕 if sub_maker: await generate_subtitle(sub_maker, text, subtitle_file) else: logger.error("Failed to generate sub_maker") return audio_file, subtitle_file async def edge_tts_voice(text: str, voice_name: str, voice_file: str, voice_rate: float = 0) -> SubMaker: """使用 Edge TTS 生成语音""" rate_str = convert_rate_to_percent(voice_rate) for i in range(3): try: logger.info(f"start, voice name: {voice_name}, try: {i + 1}") communicate = edge_tts.Communicate(text, voice_name, rate=rate_str) 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": logger.debug(f"Got word boundary: {chunk}") # 使用 SubMaker 的 create_sub 方法创建字幕 sub_maker.create_sub((chunk["offset"], chunk["duration"]), chunk["text"]) if not sub_maker or not sub_maker.subs: logger.warning("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)}") continue return None async def generate_subtitle(sub_maker: edge_tts.SubMaker, text: str, subtitle_file: str): """生成字幕文件""" try: if not sub_maker or not hasattr(sub_maker, "subs") or not sub_maker.subs: print("No subtitles to generate: sub_maker is None or sub_maker.subs is empty") return print(f"Generating subtitles with {len(sub_maker.subs)} items") # 直接使用创建字幕的函数 await create_subtitle(sub_maker=sub_maker, text=text, subtitle_file=subtitle_file) except Exception as e: print(f"failed to generate subtitle: {str(e)}") import traceback print(traceback.format_exc()) def get_audio_duration(sub_maker: edge_tts.SubMaker) -> float: """获取音频时长（秒）""" if not sub_maker or not hasattr(sub_maker, "subs") or not sub_maker.subs: return 0 last_sub = sub_maker.subs[-1] start, duration = last_sub[0] return (start + duration) / 10000000 # 转换为秒 def _format_text(text: str) -> str: text = text.replace("[", " ") text = text.replace("]", " ") text = text.replace("(", " ") text = text.replace(")", " ") text = text.replace("{", " ") text = text.replace("}", " ") text = text.strip() return text async def create_subtitle(sub_maker: edge_tts.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{start_t} --> {end_t}\n{sub_text}\n" start_time = -1.0 sub_items = [] sub_index = 0 script_lines = split_string_by_punctuations(text) logger.debug(f"Split text into {len(script_lines)} lines: {script_lines}") 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.error( 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)}")