# 部署步骤

1. 将该仓库clone到本地
2. 创建虚拟环境并启动

``` shell
conda create -n takway python=3.9
conda activate takway
```

3. cd进入仓库目录下，安装依赖

``` shell
cd ~/TakwayDisplayPlatform
pip install -r requirements.txt
```

4. 在./utils/目录下创建vits_model文件夹

   从[链接](https://huggingface.co/spaces/zomehwh/vits-uma-genshin-honkai/tree/main/model)下载vits_model并放入该文件夹下，只需下载config.json和G_953000.pth即可

5. 在./utils/bert_vits2/目录下创建bert，slm文件夹

​	从[链接1](https://huggingface.co/hfl/chinese-roberta-wwm-ext-large)，[链接2](https://huggingface.co/microsoft/deberta-v3-large)，[链接3](https://huggingface.co/ku-nlp/deberta-v2-large-japanese-char-wwm)下载模型，放入bert目录下

​	从[链接4](https://huggingface.co/microsoft/wavlm-base-plus)下载模型，放入slm目录下

​	在./utils/bert_vits2/bert目录下创建bert_models.json文件，填入如下内容

``` json
{
    "deberta-v2-large-japanese-char-wwm": {
        "repo_id": "ku-nlp/deberta-v2-large-japanese-char-wwm",
        "files": ["pytorch_model.bin"]
    },
    "chinese-roberta-wwm-ext-large": {
        "repo_id": "hfl/chinese-roberta-wwm-ext-large",
        "files": ["pytorch_model.bin"]
    },
    "deberta-v3-large": {
        "repo_id": "microsoft/deberta-v3-large",
        "files": ["spm.model", "pytorch_model.bin"]
    }
}
```

6. 在 ./utils/bert_vits2/data/mix/目录下创建models文件夹，并放入预训练模型250000_G.pth
7. 回到根目录，`python main.py`启动程序