!git clone https://github.com/Mr47121836/Bert-VITS2.git
%cd Bert-VITS2

!pip install -r requirements.txt

train_name = "xss"

!wget https://huggingface.co/datasets/guetLzy/genshin/resolve/main/%E7%94%B3%E9%B9%A4.zip -O ./wav/申鹤.zip
!wget https://huggingface.co/datasets/guetLzy/genshin/resolve/main/%E5%85%AB%E9%87%8D%E7%A5%9E%E5%AD%90.zip -O ./wav/八重神子.zip
!wget https://huggingface.co/datasets/guetLzy/genshin/resolve/main/%E9%A6%99%E8%8F%B1.zip -O ./wav/香菱.zip

!unzip  -j ./wav/八重神子.zip "*.wav" -d ./wav/八重神子/
!unzip  -j ./wav/申鹤.zip "*.wav" -d ./wav/申鹤/
!unzip  -j ./wav/香菱.zip "*.wav" -d ./wav/香菱/

wav
├───神里绫华
├   ├───xxx.wav
├   ├───...
├   ├───yyy.wav
├   └───zzz.wav
├───刻晴
├   ├───xxx.wav
├   ├───...
├   ├───yyy.wav
├   └───zzz.wav
├───...
├
└───钟离
    ├───xxx.wav
    ├───...
    ├───yyy.wav
    └───zzz.wav

import os
from tqdm import tqdm
# 每个说话人保留的语音条数
keep_num = 500
for dir_name in os.listdir("./wav"):
  if dir_name.endswith("zip") or dir_name.endswith("md") :
    os.remove(os.path.join("./wav",dir_name))

for dir_name in tqdm(os.listdir("./wav/")):
    folder_path = './wav/' + dir_name
    num = 1
    for file in tqdm(os.listdir(folder_path)):
        if(num <= keep_num):
            s = '%06d' % num  # 前面补零占位
            os.rename(os.path.join(folder_path, file), os.path.join(folder_path, str(s) + '.wav'))
        else:
            os.remove(os.path.join(folder_path, file))
        num += 1

!wget https://huggingface.co/guetLzy/Bert-Vits2-PreWeight/resolve/main/medium.pt -O ./whisper_model/medium.pt
!python generate_filelist.py

!python  preprocess_text.py

%cd monotonic_align/
!mkdir monotonic_align
!python setup.py build_ext --inplace
%cd ..

!mkdir -p ./logs/{train_name}
!wget https://huggingface.co/guetLzy/Bert-Vits2-PreWeight/resolve/main/DUR_0.pth -O ./logs/{train_name}/DUR_0.pth
!wget https://huggingface.co/guetLzy/Bert-Vits2-PreWeight/resolve/main/D_0.pth -O ./logs/{train_name}/D_0.pth
!wget https://huggingface.co/guetLzy/Bert-Vits2-PreWeight/resolve/main/G_0.pth -O ./logs/{train_name}/G_0.pth
!wget https://huggingface.co/guetLzy/Bert-Vits2-PreWeight/resolve/main/pytorch_model.bin -O ./bert/chinese-roberta-wwm-ext-large/pytorch_model.bin
!wget https://huggingface.co/guetLzy/Bert-Vits2-PreWeight/resolve/main/medium.pt -O ./whisper_model/medium.pt

!python bert_gen.py

!python train_ms.py -c configs/config.json -m {train_name}