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README.md
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---
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title: Moonshine Web (Vue)
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emoji: 🌙
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colorFrom: blue
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colorTo: pink
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sdk: static
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pinned: false
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license: apache-2.0
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models:
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- onnx-community/moonshine-base-ONNX
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short_description: Yet another Real-time in-browser STT, re-implemented in Vue
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thumbnail: https://raw.githubusercontent.com/moeru-ai/airi/refs/heads/main/packages/whisper-webgpu/public/banner.png
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---
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<h1 align="center">Moonshine Web (Vue)</h1>
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<p align="center">
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[<a href="https://moonshine-web-vue.netlify.app/">Try it</a>]
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</p>
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> Heavily inspired by [Realtime in-browser speech recognition](https://huggingface.co/spaces/webml-community/moonshine-web)
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# Moonshine Web
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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).
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## Getting Started
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Follow the steps below to set up and run the application.
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### 1. Clone the Repository
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Clone the examples repository from GitHub:
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```sh
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git clone https://github.com/moeru-ai/airi.git
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```
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### 2. Navigate to the Project Directory
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Change your working directory to the `moonshine-web` folder:
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```sh
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cd packages/moonshine-web
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```
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### 3. Install Dependencies
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Install the necessary dependencies using npm:
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```sh
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npm i
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```
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### 4. Run the Development Server
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Start the development server:
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```sh
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npm run dev
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```
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The application should now be running locally. Open your browser and go to `http://localhost:5175` to see it in action.
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## Acknowledgements
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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/).
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Great thanks to what Xenova have done.
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> [Source code](https://github.com/huggingface/transformers.js-examples/tree/38a883dd465d70d7368b86b95aa0678895ca4e83/moonshine-web)
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