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README
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README.md
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README.md
@ -79,12 +79,6 @@ pip install -r requirements.txt
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### Install Manually
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#### Install Dependences
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```bash
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pip install -r requirements.txt
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```
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#### Install FFmpeg
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##### Conda Users
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@ -105,11 +99,19 @@ conda install -c conda-forge 'ffmpeg<7'
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Download and place [ffmpeg.exe](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffmpeg.exe) and [ffprobe.exe](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffprobe.exe) in the GPT-SoVITS root.
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Install [Visual Studio 2022](https://visualstudio.microsoft.com/downloads/) (Korean TTS Only)
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##### MacOS Users
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```bash
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brew install ffmpeg
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```
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#### Install Dependences
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```bash
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pip install -r requirements.txt
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```
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### Using Docker
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#### docker-compose.yaml configuration
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@ -141,16 +143,22 @@ docker run --rm -it --gpus=all --env=is_half=False --volume=G:\GPT-SoVITS-Docker
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Download pretrained models from [GPT-SoVITS Models](https://huggingface.co/lj1995/GPT-SoVITS) and place them in `GPT_SoVITS/pretrained_models`.
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Download G2PW models from [G2PWModel-v2-onnx.zip](https://paddlespeech.bj.bcebos.com/Parakeet/released_models/g2p/G2PWModel_1.1.zip), unzip and rename to `G2PWModel`, and then place them in `GPT_SoVITS\text`.(Chinese TTS Only)
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For UVR5 (Vocals/Accompaniment Separation & Reverberation Removal, additionally), download models from [UVR5 Weights](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/uvr5_weights) and place them in `tools/uvr5/uvr5_weights`.
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Users in the China region can download these two models by entering the links below and clicking "Download a copy" (Log out if you encounter errors while downloading.)
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- [GPT-SoVITS Models](https://www.icloud.com.cn/iclouddrive/056y_Xog_HXpALuVUjscIwTtg#GPT-SoVITS_Models)
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- [GPT-SoVITS Models](https://www.icloud.com/iclouddrive/044boFMiOHHt22SNr-c-tirbA#pretrained_models)
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- [UVR5 Weights](https://www.icloud.com.cn/iclouddrive/0bekRKDiJXboFhbfm3lM2fVbA#UVR5_Weights)
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- [G2PWModel_1.1.zip](https://paddlespeech.bj.bcebos.com/Parakeet/released_models/g2p/G2PWModel_1.1.zip)（Download G2PW models, unzip and rename to `G2PWModel`, and then place them in `GPT_SoVITS\text`.
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For Chinese ASR (additionally), download models from [Damo ASR Model](https://modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/files), [Damo VAD Model](https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/files), and [Damo Punc Model](https://modelscope.cn/models/damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch/files) and place them in `tools/asr/models`.
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Or Download FunASR Model from [FunASR Model](https://www.icloud.com/iclouddrive/0b52_7SQWYr75kHkPoPXgpeQA#models), unzip and replace `tools/asr/models`.(Log out if you encounter errors while downloading.)
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For English or Japanese ASR (additionally), download models from [Faster Whisper Large V3](https://huggingface.co/Systran/faster-whisper-large-v3) and place them in `tools/asr/models`. Also, [other models](https://huggingface.co/Systran) may have the similar effect with smaller disk footprint.
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Users in the China region can download this model by entering the links below
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@ -181,6 +189,72 @@ Example:
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D:\GPT-SoVITS\xxx/xxx.wav|xxx|en|I like playing Genshin.
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```
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## Finetune and inference
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### Open WebUI
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#### Integrated Package Users
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Double-click `go-webui.bat`or use `go-webui.ps`
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if you want to switch to V1,then double-click`go-webui-v1.bat` or use `go-webui-v1.ps`
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#### Others
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```bash
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python webui.py <language(optional)>
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```
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if you want to switch to V1,then
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```bash
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python webui.py v1 <language(optional)>
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```
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Or maunally switch version in WebUI
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### Finetune
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#### Path Auto-filling is now supported
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1.Fill in the audio path
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2.Slice the audio into small chunks
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3.Denoise(optinal)
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4.ASR
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5.Proofreading ASR transcriptions
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6.Go to the next Tab, then finetune the model
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### Open Inference WebUI
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#### Integrated Package Users
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Double-click `go-webui-v2.bat` or use `go-webui-v2.ps` ,then open the inference webui at `1-GPT-SoVITS-TTS/1C-inference`
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#### Others
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```bash
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python GPT_SoVITS/inference_webui.py <language(optional)>
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```
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OR
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```bash
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python webui.py
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```
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then open the inference webui at `1-GPT-SoVITS-TTS/1C-inference`
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## V2 Release Notes
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New Features:
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1.Support Korean and Cantonese
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2.An optimized text frontend
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3.Pre-trained model extended from 2k hours to 5k hours
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## Todo List
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- [ ] **High Priority:**
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@ -206,10 +280,10 @@ Use the command line to open the WebUI for UVR5
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```
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python tools/uvr5/webui.py "<infer_device>" <is_half> <webui_port_uvr5>
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```
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If you can't open a browser, follow the format below for UVR processing,This is using mdxnet for audio processing
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<!-- If you can't open a browser, follow the format below for UVR processing,This is using mdxnet for audio processing
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```
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python mdxnet.py --model --input_root --output_vocal --output_ins --agg_level --format --device --is_half_precision
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```
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``` -->
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This is how the audio segmentation of the dataset is done using the command line
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```
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python audio_slicer.py \
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@ -250,6 +324,9 @@ Special thanks to the following projects and contributors:
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### Text Frontend for Inference
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- [paddlespeech zh_normalization](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/paddlespeech/t2s/frontend/zh_normalization)
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- [LangSegment](https://github.com/juntaosun/LangSegment)
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- [g2pW](https://github.com/GitYCC/g2pW)
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- [pypinyin-g2pW](https://github.com/mozillazg/pypinyin-g2pW)
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- [paddlespeech g2pw](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/paddlespeech/t2s/frontend/g2pw)
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### WebUI Tools
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- [ultimatevocalremovergui](https://github.com/Anjok07/ultimatevocalremovergui)
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- [audio-slicer](https://github.com/openvpi/audio-slicer)
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@ -51,7 +51,7 @@ _注: numba==0.56.4 需要 python<3.11_
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### Windows
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如果你是 Windows 用户（已在 win>=10 上测试），可以下载[下载整合包](https://huggingface.co/lj1995/GPT-SoVITS-windows-package/resolve/main/GPT-SoVITS-beta.7z?download=true)，解压后双击 go-webui-v2.bat 即可启动 GPT-SoVITS-WebUI。
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如果你是 Windows 用户（已在 win>=10 上测试），可以下载[下载整合包](https://huggingface.co/lj1995/GPT-SoVITS-windows-package/resolve/main/GPT-SoVITS-beta.7z?download=true)，解压后双击 go-webui.bat 即可启动 GPT-SoVITS-WebUI。
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中国地区用户可以通过点击链接并选择“下载副本”[下载整合包](https://www.icloud.com.cn/iclouddrive/030K8WjGJ9xMXhpzJVIMEWPzQ#GPT-SoVITS-beta0706fix1)。（如果下载时遇到错误，请退出登录）
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@ -99,7 +99,7 @@ conda install -c conda-forge 'ffmpeg<7'
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下载并将 [ffmpeg.exe](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffmpeg.exe) 和 [ffprobe.exe](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffprobe.exe) 放置在 GPT-SoVITS 根目录下。
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安装 [Visual Studio 2022](https://visualstudio.microsoft.com/zh-hans/downloads/) 环境(仅限韩语)
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安装 [Visual Studio 2022](https://visualstudio.microsoft.com/zh-hans/downloads/) 环境(仅限韩语TTS)
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##### MacOS 用户
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```bash
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@ -111,6 +111,7 @@ brew install ffmpeg
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```bash
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pip install -r requirements.txt
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```
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### 在 Docker 中使用
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#### docker-compose.yaml 设置
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@ -142,7 +143,7 @@ docker run --rm -it --gpus=all --env=is_half=False --volume=G:\GPT-SoVITS-Docker
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从 [GPT-SoVITS Models](https://huggingface.co/lj1995/GPT-SoVITS) 下载预训练模型，并将它们放置在 `GPT_SoVITS\pretrained_models` 中。
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从 [G2PWModel-v2-onnx.zip](https://storage.googleapis.com/esun-ai/g2pW/G2PWModel-v2-onnx.zip) 下载G2PW模型,并将它们解压重命名为`G2PWModel` 后放置在 `GPT_SoVITS\text` 中。
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从 [G2PWModel-v2-onnx.zip](https://paddlespeech.bj.bcebos.com/Parakeet/released_models/g2p/G2PWModel_1.1.zip) 下载G2PW模型,并将它们解压重命名为`G2PWModel` 后放置在 `GPT_SoVITS\text` 中。（仅限中文TTS）
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对于 UVR5（人声/伴奏分离和混响移除，附加），从 [UVR5 Weights](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/uvr5_weights) 下载模型，并将它们放置在 `tools/uvr5/uvr5_weights` 中。
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@ -179,8 +180,8 @@ vocal_path|speaker_name|language|text
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- 'zh': 中文
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- 'ja': 日语
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- 'en': 英语
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- 'yue': 粤语
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- 'ko': 韩语
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- 'yue': 粤语
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示例：
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@ -188,7 +189,7 @@ vocal_path|speaker_name|language|text
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D:\GPT-SoVITS\xxx/xxx.wav|xxx|zh|我爱玩原神。
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```
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## 使用
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## 微调与推理
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### 打开WebUI
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@ -210,7 +211,7 @@ python webui.py v1 <language(optional)>
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```
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或者在webUI内动态切换
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### 训练
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### 微调
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#### 现已支持自动填充路径
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@ -252,7 +253,7 @@ python webui.py
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2.更好的文本前端
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3.底膜由2k小时扩展至5k小时
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3.底模由2k小时扩展至5k小时
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## 待办事项清单
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