metadata

title: Moonshine Web
emoji: 🌙
colorFrom: blue
colorTo: pink
sdk: static
pinned: false
license: apache-2.0
models:
  - onnx-community/moonshine-base-ONNX
short_description: Real-time in-browser speech recognition
thumbnail: >-
  https://huggingface.co/spaces/webml-community/moonshine-web/resolve/main/banner.png

Moonshine Web

A simple React + Vite application for running Moonshine Base, 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:

git clone https://github.com/huggingface/transformers.js-examples.git

2. Navigate to the Project Directory

Change your working directory to the moonshine-web folder:

cd transformers.js-examples/moonshine-web

3. Install Dependencies

Install the necessary dependencies using npm:

npm i

4. Run the Development Server

Start the development server:

npm run dev

The application should now be running locally. Open your browser and go to http://localhost:5173 to see it in action.

Acknowledgements

The audio visualizer was adapted from Wael Yasmina's amazing tutorial.