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---
title: Decomate
emoji: 📉
colorFrom: gray
colorTo: purple
sdk: gradio
sdk_version: 5.44.1
app_file: app.py
pinned: false
license: cc-by-nc-4.0
short_description: SVG decomposition and animation generation
---
## Overview
Decomate is a Gradio-based application designed for intelligent SVG decomposition and animation generation. It leverages advanced machine learning models to analyze SVG files, group elements semantically, and create animations based on user descriptions.
## Example Animation Result
| <img src="assets/animation-bunny.gif" width="200"/> | <img src="assets/duck.gif" width="200"/> |
| :-------------------------------------------------: | :--------------------------------------: |
| Bunny | Duck |
## Features
- **SVG Decomposition**: Automatically parse and decompose SVG files into semantic groups such as characters, objects, and backgrounds.
- **Animation Suggestions**: Generate animation ideas tailored to the SVG structure.
- **Interactive UI**: User-friendly interface for uploading SVGs, analyzing them, and previewing animations.
- **Custom Animation**: Create animations using AI-driven suggestions and user inputs.
## Installation
1. Clone the repository:
```bash
git clone https://github.com/your-repo/decomate.git
cd decomate
```
2. Install dependencies:
```bash
pip install -r requirements.txt
```
3. Set up environment variables:
- Create a `.env` file in the root directory.
- Add your `ANTHROPIC_API_KEY`:
```
ANTHROPIC_API_KEY=your_api_key_here
```
## Usage
1. Launch the application:
```bash
python app.py
```
2. Open the Gradio interface in your browser.
3. Upload an SVG file or paste SVG markup to start analyzing and animating.
## File Structure
- **`app.py`**: Main application file.
- **`utils.py`**: Utility functions for SVG processing.
- **`requirements.txt`**: List of dependencies.
- **`prompts/`**: Prompt Templates.
- **`dataset/`**: Sample SVG files for testing.
- **`.env`**: Environment variables (not included in the repository).
## License
This project is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
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