[Try it]
> Heavily inspired by [Realtime in-browser speech recognition](https://huggingface.co/spaces/webml-community/moonshine-web) # Moonshine Web A simple Vue + Vite application for running [Moonshine Base](https://huggingface.co/onnx-community/moonshine-base-ONNX), a powerful speech-to-text model optimized for fast and accurate automatic speech recognition (ASR) on resource-constrained devices. It runs locally in the browser using Transformers.js and WebGPU-acceleration (or WASM as a fallback). ## Getting Started Follow the steps below to set up and run the application. ### 1. Clone the Repository Clone the examples repository from GitHub: ```sh git clone https://github.com/moeru-ai/airi.git ``` ### 2. Navigate to the Project Directory Change your working directory to the `moonshine-web` folder: ```sh cd packages/moonshine-web ``` ### 3. Install Dependencies Install the necessary dependencies using npm: ```sh npm i ``` ### 4. Run the Development Server Start the development server: ```sh npm run dev ``` The application should now be running locally. Open your browser and go to `http://localhost:5175` to see it in action. ## Acknowledgements The audio visualizer was adapted from Wael Yasmina's [amazing tutorial](https://waelyasmina.net/articles/how-to-create-a-3d-audio-visualizer-using-three-js/). Great thanks to what Xenova have done. > [Source code](https://github.com/huggingface/transformers.js-examples/tree/38a883dd465d70d7368b86b95aa0678895ca4e83/moonshine-web)