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5.28 kB
| title: ScratchLM | |
| emoji: ๐ | |
| colorFrom: purple | |
| colorTo: blue | |
| sdk: docker | |
| app_port: 7860 | |
| pinned: false | |
| # ScratchLM | |
| [](https://www.python.org/downloads/) | |
| [](https://fastapi.tiangolo.com/) | |
|  | |
| [](https://ai.google.dev/) | |
| [](https://www.gnu.org/licenses/agpl-3.0.en.html) | |
| <div align="center"> | |
| <br/> | |
| <a href="https://huggingface.co/spaces/mingnatthakitt/ScratchLM"> | |
| <img src="https://huggingface.co/datasets/huggingface/badges/resolve/main/open-in-hf-spaces-xl-dark.svg" alt="Try our demo in Hugging Face Spaces" width="300px"> | |
| </a> | |
| <br/> | |
| <br/> | |
| </div> | |
| **Zero-DB AI Study Assistant** - Upload PDFs, extract content, and get AI-powered cheatsheets and interactive tutoring. | |
| <p align="center"> | |
| <!-- screenshot coming soon --> | |
| </p> | |
| ## โจ Key Features | |
| ### ๐ Local PDF Processing | |
| - **Drag & Drop Upload**: Upload multiple PDFs directly in your browser | |
| - **Local Extraction**: Text extraction happens entirely on the server | |
| - **Multi-Document Support**: Process multiple PDFs simultaneously with clear demarcation | |
| ### ๐ AI-Powered Cheatsheet Generator | |
| - **4-Zone Structure**: Automatically generates comprehensive study guides: | |
| - **Zone A**: Concept Deep-Dive | |
| - **Zone B**: Real-World Analogies | |
| - **Zone C**: Worked Problems | |
| - **Zone D**: Exam Traps & Strategy | |
| - **Markdown Export**: Download cheatsheets as `.md` files for Obsidian, Notion, or any็ฌ่ฎฐ app | |
| ### ๐ฌ RAG Chat with Full Context | |
| - **Document-Aware**: Chat remembers everything from your uploaded PDFs | |
| - **Conversation History**: Multi-turn dialogues with context retention | |
| - **Step-by-Step Teaching**: AI tutor explains concepts rather than just answering | |
| ### ๐ Privacy First | |
| - **Zero Database**: No user data stored anywhere | |
| - **Session Isolation**: Each browser tab is isolated | |
| - **One-Click Wipe**: Refresh the page to clear all data | |
| --- | |
| ## ๐ AI Architecture | |
| ### Model: Gemma 4 31B IT | |
| The app uses **Gemma 4 31B Instruction-Tuned** model via Google AI Studio API for: | |
| - Complex reasoning and explanation generation | |
| - Multi-step problem solving | |
| - Conceptual teaching with analogies | |
| ### PDF Processing: pypdf | |
| - Pure Python PDF text extraction | |
| - No external services or cloud dependencies | |
| - Preserves document structure and page breaks | |
| --- | |
| ## ๐ ๏ธ Technical Stack | |
| | Component | Technology | | |
| |-----------|------------| | |
| | Web Framework | FastAPI | | |
| | Frontend | Vanilla HTML/CSS/JS | | |
| | AI Model | Gemma 4 31B IT | | |
| | PDF Parsing | pypdf | | |
| | Markdown Rendering | marked.js | | |
| --- | |
| ## ๐ Getting Started | |
| ### Prerequisites | |
| - A Google AI Studio API key (free tier available) | |
| - Docker (for local development) | |
| ### Local Setup | |
| 1. **Clone the repository**: | |
| ```bash | |
| git clone https://huggingface.co/spaces/mingnatthakitt/ScratchLM | |
| ``` | |
| 2. **Set up environment variable**: | |
| ```bash | |
| export GEMINI_API_KEY="your_api_key_here" | |
| ``` | |
| 3. **Run with Docker**: | |
| ```bash | |
| docker build -t scratchlm . | |
| docker run -p 7860:7860 -e GEMINI_API_KEY=$GEMINI_API_KEY scratchlm | |
| ``` | |
| Or run without Docker: | |
| ```bash | |
| pip install -r requirements.txt | |
| python app.py | |
| ``` | |
| 4. **Open in browser**: | |
| Navigate to `http://localhost:7860` | |
| ### Hugging Face Spaces | |
| 1. **Fork the Space**: Clone it to your account | |
| 2. **Add Secrets**: Go to Space Settings โ Repository secrets โ Add `GEMINI_API_KEY` | |
| 3. **Done**: The Space will automatically build and run | |
| --- | |
| ## ๐ How to Use | |
| ### Step 1: Upload PDFs | |
| Drag and drop PDF files onto the upload area, or click to browse. | |
| ### Step 2: Extract Text | |
| Click **โก Extract** to process your documents. The extracted text will appear in the preview panel. | |
| ### Step 3: Generate Cheatsheet | |
| Click **โจ Generate** to create a comprehensive 4-zone study guide from your documents. | |
| ### Step 4: Download or Chat | |
| - **๐ฅ Download .md**: Save the cheatsheet as a Markdown file | |
| - **๐ฌ Chat**: Ask questions about your documents with full context awareness | |
| --- | |
| ## โ๏ธ License | |
| **GNU Affero General Public License v3.0 (AGPL-3.0)** | |
| This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. | |
| This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details. | |
| You should have received a copy of the GNU Affero General Public License along with this program. If not, see <https://www.gnu.org/licenses/agpl-3.0.en.html>. | |
| --- | |
| ## ๐ Acknowledgments | |
| - **Google AI** for providing Gemma models via AI Studio | |
| - **Hugging Face** for the Spaces infrastructure | |
| - **FastAPI** for the excellent web framework | |