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| title: 'Text2SVG: AI-Powered SVG Generation' | |
| emoji: 🚀 | |
| colorFrom: indigo | |
| colorTo: indigo | |
| sdk: streamlit | |
| app_file: src/app.py | |
| sdk_version: 1.54.0 | |
| pinned: false | |
| license: mit | |
| # LLM-to-SVG: Generative Text-to-Vector Images | |
| This repository contains a Kaggle Package solution for the "Drawing with LLMs" competition. | |
| ## Overview | |
| The goal of this project is to generate SVG images from textual descriptions using a Python model class with a `predict()` method. Each SVG is fully vectorized, scalable, and does not contain rasterized images or external data. | |
| ## Features | |
| - Converts text prompts into SVG images. | |
| - Minimal, reproducible Python model. | |
| - Compatible with Kaggle Package submission. | |
| - Optional: Streamlit interface for live SVG generation. | |