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---
emoji: "\U0001F4AC"
sdk: static
pinned: false
license: mit
title: Realtime Conversational WebGPU (Vue)
colorFrom: purple
colorTo: indigo
models:
- HuggingFaceTB/SmolLM2-1.7B-Instruct
- onnx-community/whisper-base
- onnx-community/silero-vad
short_description: Yet another Realtime Conversational WebGPU
---
<h1 align="center">Realtime Conversational WebGPU (Vue)</h1>
<p align="center">
[<a href="https://conversational-webgpu-vue.netlify.app/">Try it</a>]
</p>
> Heavily inspired by [WebGPU Video Object Detection - a Hugging Face Space by WebML Community](https://huggingface.co/spaces/webml-community/webgpu-video-object-detection)
# Realtime Conversational WebGPU
## 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/proj-airi/webai-examples.git
```
### 2. Navigate to the Project Directory
Change your working directory to the `conversational-webgpu` folder:
```sh
cd apps/conversational-webgpu
```
### 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
Great thanks to what WebML Community have done.
> [Source code](https://huggingface.co/spaces/webml-community/conversational-webgpu)
> [UI inspiration](https://app.sesame.com/)
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