[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-72605":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":17,"stars7d":18,"stars30d":19,"stars90d":16,"forks30d":16,"starsTrendScore":20,"compositeScore":21,"rankGlobal":10,"rankLanguage":10,"license":22,"archived":23,"fork":23,"defaultBranch":24,"hasWiki":25,"hasPages":23,"topics":26,"createdAt":10,"pushedAt":10,"updatedAt":34,"readmeContent":35,"aiSummary":36,"trendingCount":16,"starSnapshotCount":16,"syncStatus":37,"lastSyncTime":38,"discoverSource":39},72605,"AudioNotes","harry0703\u002FAudioNotes","harry0703","快速提取音视频内容，整理成一份结构化的markdown笔记","",null,"Python",2144,313,18,29,0,12,25,98,36,29.49,"MIT License",false,"main",true,[27,28,29,30,31,32,33],"ai","asr","funasr","ollama","python","qwen2","whisper","2026-06-12 02:03:05","# AudioNotes\n\n## 基于 FunASR 和 Qwen2 构建的音视频转结构化笔记系统\n\n能够快速提取音视频的内容，并且调用大模型进行整理，成为一份结构化的markdown笔记，方便快速阅读\n\nFunASR: https:\u002F\u002Fgithub.com\u002Fmodelscope\u002FFunASR\n\nQwen2: https:\u002F\u002Follama.com\u002Flibrary\u002Fqwen2\n\n## 效果展示\n\n### 音视频识别和整理\n\n![image](docs\u002F1.jpg)\n\n### 与音视频内容对话\n\n![image](docs\u002F2.jpg)\n\n## 使用方法\n\n### ① 安装 Ollama\n\n下载对应系统的 Ollama 安装包进行安装\n\nhttps:\u002F\u002Follama.com\u002Fdownload\n\n### ② 拉取模型\n\n我以 `阿里的千问2 7b` 为例 https:\u002F\u002Follama.com\u002Flibrary\u002Fqwen2\n\n```bash\nollama pull qwen2:7b\n```\n\n### ③ 部署服务\n\n有两种部署方式，一种是使用 Docker 部署，另一种是本地部署\n\n#### Docker部署（推荐）🐳\n\n```bash\ncurl -fsSL https:\u002F\u002Fgithub.com\u002Fharry0703\u002FAudioNotes\u002Fraw\u002Fmain\u002Fdocker-compose.yml -o docker-compose.yml\ndocker-compose up\n```\ndocker 启动后，访问 http:\u002F\u002Flocalhost:15433\u002F\n\n> 登录账号为 admin，密码为 admin （可以在 docker-compose.yml 文件里面修改）\n\n#### 本地部署 📦\n\n需要有可访问的 postgresql 数据库\n\n```bash\nconda create -n AudioNotes python=3.10 -y\nconda activate AudioNotes\ngit clone https:\u002F\u002Fgithub.com\u002Fharry0703\u002FAudioNotes.git\ncd AudioNotes\npip install -r requirements.txt\n```\n\n将 `.env.example` 重命名为 `.env`，修改相关配置信息\n\n```bash\nchainlit run main.py\n```\n服务启动后，访问 http:\u002F\u002Flocalhost:8000\u002F\n\n> 登录账号为 admin，密码为 admin （可以在 .env 文件里面修改）","AudioNotes 是一个基于 FunASR 和 Qwen2 构建的音视频转结构化笔记系统，能够快速提取音视频内容并整理成结构化的 Markdown 笔记。该项目利用了先进的自动语音识别技术（ASR）和大模型处理能力，支持用户通过简单的操作将音视频资料转换为易于阅读和管理的文字笔记。适用于需要从会议记录、讲座视频等多媒体文件中提取关键信息并进行归档整理的各种场景。项目采用 Python 语言编写，遵循 MIT 许可协议，具有良好的开放性和扩展性。",2,"2026-06-11 03:42:46","high_star"]