start_app.sh

#!/bin/bash

if [ -z "$HF_USER_NAME" ]; then
  echo "错误：环境变量 HF_USER_NAME 未设置！"
  exit 1
fi

if [ -z "$HF_USER_TOKEN" ]; then
  echo "错误：环境变量 HF_USER_TOKEN 未设置！"
  exit 1
fi

# 启用Git LFS支持
git lfs install --force

# 定义需要克隆的仓库列表
BASE_REPO_URL="https://${HF_USER_NAME}:${HF_USER_TOKEN}@huggingface.co/stepfun-ai"
REPOSITORIES=(
    "Step-Audio-Tokenizer"
    "Step-Audio-TTS-3B"
)

# 定义本地存放仓库的目录，默认为当前目录
LOCAL_DIR="${1:-$(pwd)}"

# 克隆函数（带无限重试机制）
clone_with_retry() {
    local repo_name=$1
    local repo_url="${BASE_REPO_URL}/${repo_name}"
    local target_dir="${LOCAL_DIR}/${repo_name}"

    # 检查是否已存在目录
    if [ -d "${target_dir}" ]; then
        echo "目录 ${target_dir} 已存在，跳过克隆。"
        return 0
    fi

    # 无限重试循环
    while true; do
        echo "正在尝试克隆 ${repo_name} 到 ${target_dir}..."
        if git clone "${repo_url}" "${target_dir}"; then
            echo "成功克隆 ${repo_name} 到 ${target_dir}"
            return 0
        else
            echo "克隆失败, 5秒后重试..."
            sleep 5
        fi
    done
}

# 遍历所有仓库进行克隆
for repo in "${REPOSITORIES[@]}"; do
    clone_with_retry "${repo}"
done

echo "所有仓库已成功下载！"
export LD_LIBRARY_PATH=/home/user/.local/lib/python3.10/site-packages/nvidia/cuda_runtime/lib:/home/user/.local/lib/python3.10/site-packages/nvidia/cuda_nvrtc/lib:/home/user/.local/lib/python3.10/site-packages/nvidia/cublas/lib:$LD_LIBRARY_PATH
python app.py --model $LOCAL_DIR