set python 3.13 #5
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| name: Deploy to Hugging Face Space | |
| on: | |
| push: | |
| branches: ["master"] | |
| workflow_dispatch: # 允许手动触发 | |
| jobs: | |
| deploy: | |
| runs-on: ubuntu-latest | |
| steps: | |
| - name: Checkout code | |
| uses: actions/checkout@v4 | |
| with: | |
| fetch-depth: 0 | |
| - name: Set up Python | |
| uses: actions/setup-python@v5 | |
| with: | |
| python-version: '3.13' | |
| - name: Install uv | |
| run: | | |
| curl -LsSf https://astral.sh/uv/install.sh | sh | |
| echo "$HOME/.cargo/bin" >> $GITHUB_PATH | |
| - name: Export requirements.txt | |
| run: | | |
| uv export --no-hashes --no-dev -o requirements.txt | |
| # 移除本地包引用（-e .）和 Python 3.13 特定的包 | |
| grep -v "^-e \." requirements.txt | grep -v "audioop-lts" > requirements_hf.txt || true | |
| mv requirements_hf.txt requirements.txt | |
| - name: Prepare deployment files | |
| run: | | |
| # 创建临时部署目录 | |
| mkdir -p /tmp/hf-deploy | |
| # 复制必要文件到部署目录 | |
| cp examples/app.py /tmp/hf-deploy/app.py | |
| cp requirements.txt /tmp/hf-deploy/ | |
| cp -r src/chapterbar /tmp/hf-deploy/ | |
| cp LICENSE /tmp/hf-deploy/ || echo "LICENSE not found, skipping" | |
| # 修改 app.py 以使用正确的导入路径 | |
| # 确保 src 目录在 Python 路径中 | |
| sed -i '1i import sys\nsys.path.insert(0, "/app/src")' /tmp/hf-deploy/app.py | |
| # 创建带有 HF Space 配置的 README.md | |
| cat > /tmp/hf-deploy/README.md << 'EOF' | |
| --- | |
| title: Auto Chapter Bar | |
| emoji: 🎬 | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: gradio | |
| python_version: "3.13" | |
| sdk_version: "5.9.1" | |
| app_file: app.py | |
| pinned: false | |
| license: apache-2.0 | |
| --- | |
| # 🎬 Auto Chapter Bar | |
| Auto Chapter Bar（简称 `acb`）是一个开源的 Python 工具，可以快速将 SRT 字幕文件转换为带有 Alpha 透明通道的视频章节进度条。 | |
| ## ✨ 核心特性 | |
| - **🎨 透明通道支持**：输出 RGBA 格式，可完美叠加在任意视频上 | |
| - **🤖 AI 智能分段**：基于 Moonshot LLM 理解语义边界，自动识别章节 | |
| - **🔒 隐私优先**：完全本地处理，视频文件不上传云端 | |
| - **⚡ 高性能**：多进程并行处理，速度提升 2-4 倍 | |
| - **🎛️ 三种模式**：AI 智能模式、自动分段模式、手动配置模式 | |
| ## 🚀 使用方法 | |
| 1. 上传 SRT 字幕文件 | |
| 2. 输入视频总时长（秒） | |
| 3. 选择生成模式（AI 或 Auto） | |
| 4. 点击生成按钮 | |
| 5. 下载生成的章节进度条视频 | |
| ## 📦 在视频编辑软件中使用 | |
| 生成的视频带有透明通道（Alpha Channel），可以直接叠加在原视频上： | |
| - **Adobe Premiere Pro**：导入后放在最上层视频轨道 | |
| - **剪映（CapCut）**：添加为画中画轨道 | |
| - **DaVinci Resolve**：放在视频轨道最上层 | |
| ## 🔗 项目链接 | |
| - **GitHub**: https://github.com/bbruceyuan/auto-chapter-bar | |
| - **文档**: 查看 GitHub 仓库获取完整文档 | |
| - **许可证**: Apache License 2.0 | |
| --- | |
| ⭐ 如果觉得这个项目有帮助，请在 GitHub 给个 Star！ | |
| EOF | |
| # 创建 .gitignore for HF Space | |
| cat > /tmp/hf-deploy/.gitignore << 'EOF' | |
| __pycache__/ | |
| *.py[cod] | |
| .venv/ | |
| *.mov | |
| *.mp4 | |
| outputs/ | |
| inputs/ | |
| EOF | |
| - name: Push to Hugging Face Space | |
| env: | |
| HF_TOKEN: ${{ secrets.HF_TOKEN }} | |
| HF_USERNAME: bbruceyuan | |
| HF_SPACE_NAME: auto-chapter-bar | |
| run: | | |
| cd /tmp/hf-deploy | |
| # 配置 git | |
| git config --global user.email "github-actions[bot]@users.noreply.github.com" | |
| git config --global user.name "github-actions[bot]" | |
| # 初始化 git 仓库 | |
| git init | |
| git checkout -b main | |
| # 添加所有文件 | |
| git add . | |
| git commit -m "Deploy from GitHub Actions - $(date +'%Y-%m-%d %H:%M:%S')" | |
| # 推送到 Hugging Face | |
| git remote add hf https://${HF_USERNAME}:${HF_TOKEN}@huggingface.co/spaces/${HF_USERNAME}/${HF_SPACE_NAME} | |
| git push -f hf main |