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Merge branch 'main' of https://github.com/Tim-Xiong/svg-generator
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LICENSE
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MIT License
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Copyright (c) 2025 Tim-Xiong
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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README.md
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A Streamlit application that converts text descriptions into SVG graphics using multiple AI models.
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## Overview
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This project allows users to create vector graphics (SVG) from text descriptions using three different approaches:
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βββ starvector/ # StarVector Python package
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```
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## License
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[Specify your license information here]
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## Acknowledgments
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This project utilizes several key technologies:
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- [StarVector](https://github.com/joanrod/star-vector) for image-to-SVG conversion
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- [vtracer](https://github.com/visioncortex/vtracer) for raster-to-vector conversion
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- [Phi-4](https://huggingface.co/microsoft/phi-4) for text-to-SVG generation
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- [Streamlit](https://streamlit.io/) for the web interface
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A Streamlit application that converts text descriptions into SVG graphics using multiple AI models.
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Access demo app by this [link](https://huggingface.co/spaces/Timxjl/text2svg-demo-app)
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## Overview
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This project allows users to create vector graphics (SVG) from text descriptions using three different approaches:
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βββ starvector/ # StarVector Python package
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```
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## Acknowledgments
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This project utilizes several key technologies:
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- [StarVector](https://github.com/joanrod/star-vector) for image-to-SVG conversion
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- [vtracer](https://github.com/visioncortex/vtracer) for raster-to-vector conversion
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- [Phi-4](https://huggingface.co/microsoft/phi-4) for text-to-SVG generation
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- [Streamlit](https://streamlit.io/) for the web interface
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