Local AI is a cutting-edge web application that leverages the new Chrome API window.ai to run an AI model directly in the user's browser. This allows for enhanced performance, privacy, and user control over AI-driven features.
You can try it out by visiting local-ai.pages.dev, or by following the installation instructions below to run it locally on your machine.
- Local AI Execution: Run AI models locally in your browser, ensuring data privacy and faster processing times.
- Open Source: The source code is freely available for anyone to review, modify, and contribute to.
- Seamless Integration: Easily integrate AI functionalities into your web projects without the need for external servers.
- User Control: Users have complete control over their data and AI interactions.
To get started with Local AI, follow these steps:
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Clone the repository:
git clone https://github.com/LucaDiba/local-ai.git cd local-ai -
Install dependencies:
yarn install
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Start the development server:
yarn dev
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Open the app in your browser: Navigate to the URL displayed in the terminal.
Local AI provides a simple and intuitive interface for interacting with AI models. Once the app is running, you can:
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Load a model: Use the provided interface to load a pre-trained AI model into the browser.
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Interact with the model: Enter text or other inputs to see the model's predictions and outputs in real-time.
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Customize settings: Adjust various settings to fine-tune the model's behavior and performance according to your needs.
We welcome contributions from the community!
This project is licensed under EUPL. See the LICENSE file for more information.
- Special thanks to the developers and contributors of the "window.ai" Chrome API for making this project possible.
- Thank you to the open-source community for your continuous support and contributions.
Feel free to customize this README file to better suit your project and its specific details.
(Yup, this README is AI-generated. I didn't use window.ai though, since it's not good enough - yet.)