# Tissue > [Tissue](https://github.com/psiace/tissue) is still in its early stages of development, so it may have bugs or APIs that are constantly changing. Tissue is a Rust framework that enables effortless and efficient conversion of machine learning models into interactive, user-friendly demos. With Tissue, a few lines of code are all it takes to bring your machine learning algorithms to life with engaging visual applications. ## Features - **Speedy Setup**: Get started with Tissue in minutes and integrate seamlessly with your existing Rust machine learning projects. - **Interactive GUI**: Create a graphical user interface that makes your models accessible to non-technical users. - **Rust-Powered**: Take advantage of Rust's performance and safety features to deploy machine learning models efficiently. ## Quick Start To begin using Tissue, add it to your project's `Cargo.toml` file: ```toml [dependencies] tissue = "0.1.0" ``` Create an interactive demo with Tissue: ```rust use tissue::{run, Input}; fn main() { run( |x: Vec| x.iter().sum(), &[Input::Number(234.289), Input::Number(235.6)], ) .expect("Could not run"); } ``` ## Licenses This library is licensed under either of: * MIT license [LICENSE-MIT](LICENSE-MIT) or http://opensource.org/licenses/MIT * Apache License 2.0 [LICENSE-APACHE](LICENSE-APACHE) or https://opensource.org/licenses/Apache-2.0 at your option. ## Acknowledgements Tissue owes much to the foundational work of [Chris McComb](https://twitter.com/ccmccomb)'s [tease](https://github.com/cmccomb/tease); its initial codebase was critical to Tissue's early development, despite tease no longer being actively maintained. Inspired by the user-friendly interfaces of [Gradio](https://gradio.app/) and [Streamlit](https://streamlit.io/), Tissue aspires to streamline the sharing and demonstration of machine learning models within the Rust ecosystem, emulating the simplicity these tools offer. --- Embrace the power of Rust and bring the magic of your machine learning models to life with Tissue!