\\n\\n![\\\"Paper2Slides](\\\"assets/paper2slides_logo.png\\\")
\\n\\n# Paper2Slides: From Paper to Presentation in One Click\\n\\n[](https://www.python.org/)\\n[](https://opensource.org/licenses/MIT/)\\n[](./COMMUNICATION.md) \\n[](./COMMUNICATION.md)\\n\\n✨ **Never Build Slides from Scratch Again** ✨\\n\\n| 📄 **Universal File Support** | 🎯 **RAG-Powered Precision** | 🎨 **Custom Styling** | ⚡ **Lightning Speed** |\\n\\n
\\n\\n---\\n\\n## 🎯 What is Paper2Slides?\\n\\nTurns your **research papers**, **reports**, and **documents** into **professional slides & posters** in **minutes**.\\n\\n### ✨ Key Features\\n- 📄 **Universal Document Support**\\n\\n# Paper2Slides: From Paper to Presentation in One Click\\n\\n[](https://www.python.org/)\\n[](https://opensource.org/licenses/MIT/)\\n[](./COMMUNICATION.md) \\n[](./COMMUNICATION.md)\\n\\n✨ **Never Build Slides from Scratch Again** ✨\\n\\n| 📄 **Universal File Support** | 🎯 **RAG-Powered Precision** | 🎨 **Custom Styling** | ⚡ **Lightning Speed** |\\n\\n
\\n Seamlessly process PDF, Word, Excel, PowerPoint, Markdown, and multiple file formats simultaneously.\\n \\n- 🎯 **Comprehensive Content Extraction**
\\n RAG-powered mechanism ensures every critical insight, figure, and data point is captured with precision.\\n \\n- 🔗 **Source-Linked Accuracy**
\\n Maintains direct traceability between generated content and original sources, eliminating information drift.\\n \\n- 🎨 **Custom Styling Freedom**
\\n Choose from professional built-in themes or describe your vision in natural language for custom styling.\\n \\n- ⚡ **Lightning-Fast Generation**
\\n Instant preview mode enables rapid experimentation and real-time refinements.\\n \\n- 💾 **Seamless Session Management**
\\n Advanced checkpoint system preserves all progress—pause, resume, or switch themes instantly without loss.\\n \\n- ✨ **Professional-Grade Visuals**
\\n Deliver polished, presentation-ready slides and posters with publication-quality design standards.\\n\\n### ⚡ Easy as One Command\\n```bash\\n# One command to generate slides from a paper\\npython -m paper2slides --input paper.pdf --output slides --style doraemon --length medium --fast --parallel 2\\n```\\n\\n---\\n\\n## 🔥 News\\n\\n- **[2025.12.09]** Added parallel slide generation (`--parallel`) for faster processing\\n- **[2025.12.08]** Paper2Slides is now open source!\\n\\n---\\n\\n## 🎨 Custom Styling Showcase\\n\\n
\\n\\n\\n
\\n\\n\\n
\\n\\n✨ Multiple styles available — simply modify the
\\nExamples from DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models\\n\\n
\\n\\n![](\\\"assets/doraemon_poster.png?v=2\\\") doraemon | \\n![](\\\"assets/academic_poster.png?v=2\\\") academic | \\n![](\\\"assets/totoro_poster.png?v=2\\\") custom | \\n
![](\\\"assets/doraemon_slides_preview.png?v=2\\\") doraemon | \\n![](\\\"assets/academic_slides_preview.png?v=2\\\") academic | \\n![](\\\"assets/totoro_slides_preview.png?v=2\\\") custom | \\n
--style parameter\\nExamples from DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models\\n\\n
\\n
\\n\\n---\\n\\n### 🌐 Paper2Slides Web Interface\\n\\n💡 Custom Style Example: Totoro Theme
\\n\\n```\\n--style \\\"Studio Ghibli anime style with warm whimsical aesthetic. Use soft watercolor Morandi tones with light cream background, muted sage green and dusty pink accents. Totoro character can appear as a friendly guide relating to the content, with nature elements like soft clouds or leaves.\\\"\\n```\\n\\n\\n\\n
\\n
\\n\\n---\\n\\n## 📋 Table of Contents\\n\\n- [🎯 Quick Start](#-quick-start)\\n- [🏗️ Paper2Slides Framework](#%EF%B8%8F-paper2slides-framework)\\n- [🔧 Configuration](#%EF%B8%8F-configuration)\\n- [📁 Code Structure](#-code-structure)\\n\\n---\\n\\n## 🏃 Quick Start\\n\\n### 1. Environment Setup\\n\\n```bash\\n# Clone repository\\ngit clone https://github.com/HKUDS/Paper2Slides.git\\ncd Paper2Slides\\n\\n# Create and activate conda environment\\nconda create -n paper2slides python=3.12 -y\\nconda activate paper2slides\\n\\n# Install dependencies\\npip install -r requirements.txt\\n```\\n\\n> [!NOTE]\\n> Create a `.env` file in `paper2slides/` directory with your API keys. Refer to `paper2slides/.env.example` for the required variables.\\n\\n### 2. Command Line Usage\\n\\n```bash\\n# Basic usage - generate slides from a paper\\npython -m paper2slides --input paper.pdf --output slides --length medium\\n\\n# Generate poster with custom style\\npython -m paper2slides --input paper.pdf --output poster --style \\\"minimalist with blue theme\\\" --density medium\\n\\n# Fast mode\\npython -m paper2slides --input paper.pdf --output slides --fast\", \"exit_code\": 0, \"error\": null}",
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"content": "{\"output\": \"- [🔧 Configuration](#%EF%B8%8F-configuration)\\n- [📁 Code Structure](#-code-structure)\\n\\n---\\n\\n## 🏃 Quick Start\\n\\n### 1. Environment Setup\\n\\n```bash\\n# Clone repository\\ngit clone https://github.com/HKUDS/Paper2Slides.git\\ncd Paper2Slides\\n\\n# Create and activate conda environment\\nconda create -n paper2slides python=3.12 -y\\nconda activate paper2slides\\n\\n# Install dependencies\\npip install -r requirements.txt\\n```\\n\\n> [!NOTE]\\n> Create a `.env` file in `paper2slides/` directory with your API keys. Refer to `paper2slides/.env.example` for the required variables.\\n\\n### 2. Command Line Usage\\n\\n```bash\\n# Basic usage - generate slides from a paper\\npython -m paper2slides --input paper.pdf --output slides --length medium\\n\\n# Generate poster with custom style\\npython -m paper2slides --input paper.pdf --output poster --style \\\"minimalist with blue theme\\\" --density medium\\n\\n# Fast mode\\npython -m paper2slides --input paper.pdf --output slides --fast\\n\\n# Enable parallel generation (2 workers by default)\\npython -m paper2slides --input paper.pdf --output slides --parallel 2\\n\\n# List all processed outputs\\npython -m paper2slides --list\\n```\\n\\n**CLI Options**:\\n\\n| Option | Description | Default |\\n|--------|-------------|---------|\\n| `--input, -i` | Input file(s) or directory | Required |\\n| `--output` | Output type: `slides` or `poster` | `poster` |\\n| `--content` | Content type: `paper` or `general` | `paper` |\\n| `--style` | Style: `academic`, `doraemon`, or custom | `doraemon` |\\n| `--length` | Slides length: `short`, `medium`, `long` | `short` |\\n| `--density` | Poster density: `sparse`, `medium`, `dense` | `medium` |\\n--\\n# Terminal 1: Start backend API\\n./scripts/start_backend.sh\\n\\n# Terminal 2: Start frontend\\n./scripts/start_frontend.sh\\n```\\n\\nAccess the web interface at `http://localhost:5173` (default)\\n\\n![](\\\"assets/ui_1.png\\\") | \\n![](\\\"assets/ui_2.png\\\") | \\n
\\n\\n
\\n
\\n\\n---\\n\\n## 🏗️ Paper2Slides Framework\\n\\nPaper2Slides transforms documents through a 4-stage pipeline designed for **reliability** and **efficiency**:\\n\\n| Stage | Description | Checkpoint | Output |\\n|-------|-------------|------------|------------|\\n| **🔍 RAG** | Parse documents and construct intelligent retrieval index using RAG | `checkpoint_rag.json` | Searchable knowledge base|\\n| **📊 Analysis** | Extract document structure, identify key figures, tables, and content hierarchy\\t| `checkpoint_summary.json` | Structured content map |\\n| **📋 Planning** | Generate optimized content layout and slide/poster organization strategy | `checkpoint_plan.json` | Presentation blueprint|\\n| **🎨 Creation** | Render final high-quality slides and poster visuals | Output directory | Polished presentation materials |\\n\\n--\\n## ⚙️ Configuration\\n\\n### Output Directory Structure\\n\\n```\\noutputs/\\n├── | \\n | \\n
\\n
\\n\\n---\\n\\n## 🙏 Related Open-Sourced Projects\\n\\n- **[LightRAG](https://github.com/HKUDS/LightRAG)**: Graph-Empowered RAG\\n- **[RAG-Anything](https://github.com/HKUDS/RAG-Anything)**: Multi-Modal RAG\\n- **[VideoRAG](https://github.com/HKUDS/VideoRAG)**: RAG with Extremely-Long Videos\\n\\n---\\n\\nClick to expand full project structure
\\n\\n```\\nPaper2Slides/\\n├── paper2slides/ # Core library\\n│ ├── main.py # CLI entry point\\n│ ├── core/\\n│ │ ├── pipeline.py # Main pipeline orchestration\\n│ │ ├── state.py # Checkpoint state management\\n│ │ └── stages/\\n│ │ ├── rag_stage.py # Stage 1: Parse & index\\n│ │ ├── summary_stage.py # Stage 2: Extract content\\n│ │ ├── plan_stage.py # Stage 3: Plan layout\\n│ │ └── generate_stage.py # Stage 4: Generate images\\n│ │\\n│ ├── raganything/\\n│ │ ├── raganything.py # RAG processor\\n│ │ └── parser.py # Document parser\\n│ │\\n│ ├── summary/\\n│ │ ├── paper.py # Paper structure extraction\\n│ │ └── extractors/ # Figure/table extractors\\n│ │\\n│ ├── generator/\\n│ │ ├── content_planner.py # Slide/poster planning\\n│ │ └── image_generator.py # Image generation\\n│ │\\n--\\n├── api/server.py # FastAPI backend\\n├── frontend/src/ # React frontend\\n└── scripts/ # Shell scripts (start/stop)\\n```\\n\\n\\n\\n**🌟Found Paper2Slides helpful? Star us on GitHub!**\\n\\n**🚀 Turn any document into professional presentations in minutes!** \\n\\n
\\n\\n---\\n\\n## Star History\\n\\n[](https://www.star-history.com/#HKUDS/Paper2Slides&type=timeline&legend=top-left)\", \"exit_code\": 0, \"error\": null}",
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"content": "**Paper2Slides 汇报：**\n\n| 项目 | 说明 |\n|------|------|\n| **GitHub** | HKUDS/Paper2Slides，3636⭐ |\n| **功能** | 论文PDF → 专业PPT/海报，一键生成 |\n| **依赖** | Python 3.12+，需要conda环境 |\n\n**需要的API：**\n- **LLM API**：OpenAI兼容接口（用于内容提取和规划）\n- **图像生成API**：默认用 `gemini-3-pro-image-preview`（通过OpenRouter），也可用Google官方Gemini\n\n**难度评估：**\n- 安装不难，就是 `pip install -r requirements.txt`\n- **但**：需要图像生成API（Gemini），这个可能要付费或有配额限制\n- 磁盘空间：我们服务器97%满了，可能装不下（它用了MinerU解析PDF，比较重）\n\n**替代方案：**\n- 如果只是想快速出PPT，可以试试在线工具或者我用现有技能帮你做\n- 你那边有Gemini API吗？",
"reasoning": "好的，我现在有足够的信息来汇报了。\n",
"reasoning_content": "好的，我现在有足够的信息来汇报了。\n",
"finish_reason": "stop"
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"role": "user",
"content": "磁盘什么占了那么多，搞清楚"
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"content": "",
"reasoning": "用户让我查清楚磁盘占用情况。我来分析一下。\n",
"finish_reason": "tool_calls",
"reasoning_content": "用户让我查清楚磁盘占用情况。我来分析一下。\n",
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"arguments": "{\"command\": \"# 逐个查大文件夹\\nsudo du -sh /root/.openclaw /root/.cache /root/.hermes /root/.local /root/.nvm /root/snap 2>/dev/null\", \"timeout\": 60}"
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"role": "tool",
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"content": "{\"output\": \"4.4G\\t/root/.openclaw\\n766M\\t/root/.cache\\n6.7G\\t/root/.hermes\\n2.2G\\t/root/.local\\n1.3G\\t/root/.nvm\\n28K\\t/root/snap\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "tooluse_yx0cZ8efkyNK1i5fQA52L5"
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"role": "assistant",
"content": "找到了！\n\n| 目录 | 大小 | 说明 |\n|------|------|------|\n| `/root/.hermes` | **6.7G** | Hermes数据 |\n| `/root/.openclaw` | **4.4G** | 旧OpenClaw数据 |\n| `/root/.local` | **2.2G** | Python包等 |\n| `/root/.nvm` | **1.3G** | Node.js版本 |\n| `/root/.cache` | 766M | 缓存 |\n| `/usr` | 6.1G | 系统程序 |\n| `/var` | 2.6G | 日志等 |\n| `/home` | 2.3G | ubuntu用户 |\n\n**大头是：**\n1. `.hermes` 6.7G — 可能是会话记录、缓存\n2. `.openclaw` 4.4G — 旧数据，已迁移过记忆，可能可以删\n\n要我细查 `.hermes` 和 `.openclaw` 里具体什么占空间吗？",
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{
"role": "user",
"content": "Review the conversation above and update the skill library. Be ACTIVE — most sessions produce at least one skill update, even if small. A pass that does nothing is a missed learning opportunity, not a neutral outcome.\n\nTarget shape of the library: CLASS-LEVEL skills, each with a rich SKILL.md and a `references/` directory for session-specific detail. Not a long flat list of narrow one-session-one-skill entries. This shapes HOW you update, not WHETHER you update.\n\nSignals to look for (any one of these warrants action):\n • User corrected your style, tone, format, legibility, or verbosity. Frustration signals like 'stop doing X', 'this is too verbose', 'don't format like this', 'why are you explaining', 'just give me the answer', 'you always do Y and I hate it', or an explicit 'remember this' are FIRST-CLASS skill signals, not just memory signals. Update the relevant skill(s) to embed the preference so the next session starts already knowing.\n • User corrected your workflow, approach, or sequence of steps. Encode the correction as a pitfall or explicit step in the skill that governs that class of task.\n • Non-trivial technique, fix, workaround, debugging path, or tool-usage pattern emerged that a future session would benefit from. Capture it.\n • A skill that got loaded or consulted this session turned out to be wrong, missing a step, or outdated. Patch it NOW.\n\nPreference order — prefer the earliest action that fits, but do pick one when a signal above fired:\n 1. UPDATE A CURRENTLY-LOADED SKILL. Look back through the conversation for skills the user loaded via /skill-name or you read via skill_view. If any of them covers the territory of the new learning, PATCH that one first. It is the skill that was in play, so it's the right one to extend.\n 2. UPDATE AN EXISTING UMBRELLA (via skills_list + skill_view). If no loaded skill fits but an existing class-level skill does, patch it. Add a subsection, a pitfall, or broaden a trigger.\n 3. ADD A SUPPORT FILE under an existing umbrella. Skills can be packaged with three kinds of support files — use the right directory per kind:\n • `references/