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Add video introduction links
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README.md

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alt="EaseVoice Logo" title="EaseVoice" height="175" width="175" align="right"/>
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</a>
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More vivid video introduction: [English Version Video](https://www.youtube.com/watch?v=Rfv8hXFct00), [Chinese Version Video](https://www.bilibili.com/video/BV1uaoDYVEbc/).
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EaseVoice Trainer is a backend project designed to streamline and enhance the training process for voice synthesis and transformation. It is built upon the foundation of [GPT-SoVITS](https://github.com/RVC-Boss/GPT-SoVITS), inheriting its core concepts while introducing various improvements to make the system more accessible, elegant, and user-friendly.
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Although EaseVoice Trainer takes inspiration from GPT-SoVITS, we chose not to directly fork the original repository due to significant design differences and unique objectives. Our focus is on creating a refined, modular system tailored to specific use cases and improving maintainability.

README.zh-CN.md

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# EaseVoice Trainer
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更生动的视频介绍: [英文版本](https://www.youtube.com/watch?v=Rfv8hXFct00), [中文版本](https://www.bilibili.com/video/BV1uaoDYVEbc/).
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EaseVoice Trainer 是一个旨在简化和增强语音合成与转换训练过程的后端项目。它基于 [GPT-SoVITS](https://github.com/RVC-Boss/GPT-SoVITS) 的基础,继承了其核心概念,同时引入了多项改进,使系统更加易用、优雅和用户友好。
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尽管 EaseVoice Trainer 受到 GPT-SoVITS 的启发,但我们选择不直接 fork 原始仓库,因为设计理念上存在较大差异,并且有独特的目标。我们的重点是创建一个精细化的、模块化的系统,专门针对特定用例,并提高可维护性。
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```
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### 使用 Docker 运行
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1. 打包 Docker 镜像
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```
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cd scripts/Dockerfile
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docker build -t megaease/easevoice-trainer .
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docker build -t megaease/easevoice-trainer .
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```
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2. 运行 Docker 容器
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```
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docker run -p 8000:8000 megaease/easevoice-trainer
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```

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