add chinese localization

configs/translation.yaml

@@ -276,49 +276,49 @@ de: # German
 
 zh: # Chinese
   Language: 语言
-  File: File
+  File: 文件
   Youtube: Youtube
-  Mic: Mic
-  T2T Translation: T2T Translation
-  BGM Separation: BGM Separation
-  GENERATE SUBTITLE FILE: GENERATE SUBTITLE FILE
-  Output: Output
-  Downloadable output file: Downloadable output file
-  Upload File here: Upload File here
-  Model: Model
-  Automatic Detection: Automatic Detection
-  File Format: File Format
-  Translate to English?: Translate to English?
-  Add a timestamp to the end of the filename: Add a timestamp to the end of the filename
-  Advanced Parameters: Advanced Parameters
-  Background Music Remover Filter: Background Music Remover Filter
-  Enabling this will remove background music: Enabling this will remove background music by submodel before transcribing
-  Enable Background Music Remover Filter: Enable Background Music Remover Filter
-  Save separated files to output: Save separated files to output
-  Offload sub model after removing background music: Offload sub model after removing background music
-  Voice Detection Filter: Voice Detection Filter
-  Enable this to transcribe only detected voice: Enable this to transcribe only detected voice parts by submodel.
-  Enable Silero VAD Filter: Enable Silero VAD Filter
-  Diarization: Diarization
-  Enable Diarization: Enable Diarization
-  HuggingFace Token: HuggingFace Token
-  This is only needed the first time you download the model: This is only needed the first time you download the model. If you already have models, you don't need to enter. To download the model, you must manually go to "https://huggingface.co/pyannote/speaker-diarization-3.1" and "https://huggingface.co/pyannote/segmentation-3.0" and agree to their requirement.
-  Device: Device
-  Youtube Link: Youtube Link
-  Youtube Thumbnail: Youtube Thumbnail
-  Youtube Title: Youtube Title
-  Youtube Description: Youtube Description
-  Record with Mic: Record with Mic
-  Upload Subtitle Files to translate here: Upload Subtitle Files to translate here
-  Your Auth Key (API KEY): Your Auth Key (API KEY)
-  Source Language: Source Language
-  Target Language: Target Language
-  Pro User?: Pro User?
-  TRANSLATE SUBTITLE FILE: TRANSLATE SUBTITLE FILE
-  Upload Audio Files to separate background music: Upload Audio Files to separate background music
-  Instrumental: Instrumental
-  Vocals: Vocals
-  SEPARATE BACKGROUND MUSIC: SEPARATE BACKGROUND MUSIC
+  Mic: 麦克风
+  T2T Translation: 文字翻译
+  BGM Separation: 背景音乐分离
+  GENERATE SUBTITLE FILE: 生成字幕文件
+  Output: 输出
+  Downloadable output file: 生成的字幕文件
+  Upload File here: 上传文件
+  Model: 模型选择
+  Automatic Detection: 自动检测语言
+  File Format: 字幕文件格式
+  Translate to English?: 将字幕翻译成英语
+  Add a timestamp to the end of the filename: 在文件名末尾加入时间戳
+  Advanced Parameters: 高级参数
+  Background Music Remover Filter: 背景音乐消除设置
+  Enabling this will remove background music: 启用此功能将会在进行转录前去除背景音乐
+  Enable Background Music Remover Filter: 去除背景音乐
+  Save separated files to output: 导出分离出的音频文件
+  Offload sub model after removing background music: 移除背景音乐后卸载子模型
+  Voice Detection Filter: 话音检测设置
+  Enable this to transcribe only detected voice: 启用此功能将仅转录检测到的语音部分
+  Enable Silero VAD Filter: 启用 Silero 语音活动检测 (VAD) 
+  Diarization: 说话人分离设置
+  Enable Diarization: 进行说话人分离处理
+  HuggingFace Token: HuggingFace令牌
+  This is only needed the first time you download the model: 当且仅当您首次下载模型时才需要在此输入令牌，如果您已有模型则无需输入。 要下载模型，您必须先在"https://huggingface.co/pyannote/speaker-diarization-3.1" 与 "https://huggingface.co/pyannote/segmentation-3.0" 上同意他们的使用条款。
+  Device: 设备
+  Youtube Link: Youtube视频链接
+  Youtube Thumbnail: Youtube视频封面
+  Youtube Title: Youtube视频标题
+  Youtube Description: Youtube视频简介
+  Record with Mic: 通过麦克风录制
+  Upload Subtitle Files to translate here: 上传待翻译的字幕文件
+  Your Auth Key (API KEY): 填写您的认证令牌(API KEY)
+  Source Language: 原语言
+  Target Language: 目标语言
+  Pro User?: 您是否为专业版用户？
+  TRANSLATE SUBTITLE FILE: 翻译字幕文件
+  Upload Audio Files to separate background music: 上传待分离背景音乐的音频文件
+  Instrumental: 器乐声
+  Vocals: 人声
+  SEPARATE BACKGROUND MUSIC: 分离背景音乐与人声
 
 uk: # Ukrainian
   Language: Мова