Introduction to nextjs-ollama-llm-ui
Nextjs-ollama-llm-ui is a web interface designed to work with Ollama Large Language Models (LLMs), providing users with a quick, local, and even offline setup for interacting with these models. The primary goal of this project is to simplify the start-up process for working with LLMs, offering an experience that requires minimal effort and technical knowledge.
Features
The project is packed with a range of features aimed at enhancing user experience:
- Beautiful & Intuitive UI: Inspired by the popular ChatGPT interface, users will find the interface familiar and easy to navigate.
- Fully Local Experience: The interface stores chat history in local storage, eliminating the need for an external database. This ensures a seamless experience from any device.
- Responsive Design: The interface adapts naturally to different screen sizes, providing the same user-friendly experience on both desktop and mobile devices.
- Effortless Setup: Users can get started by simply cloning the repository; no complex setup processes are required.
- Code Syntax Highlighting: Messages containing code are automatically highlighted, making it easier to read and understand code snippets.
- Easy Code Copying: Users can copy code blocks with a single click, streamlining the coding workflow.
- Model Management: Users can effortlessly download, switch between, and delete models directly from the interface.
- Light & Dark Modes: Users can toggle between light and dark themes based on their preference.
- History Management: Past chat sessions are saved and can be accessed at any time.
Preview
For a glimpse of how the interface looks and operates, users can access a quick preview video available in the project documentation.
Requirements
To utilize the nextjs-ollama-llm-ui, users need to meet the following requirements:
- Download and run Ollama or operate it in a Docker container.
- Ensure the system has Node.js (version 18 or above) and npm installed.
Easy Deployment
Deploying the interface to platforms like Vercel or Netlify is made easy with a simple one-click process. By setting the OLLAMA_ORIGINS environment variable to match the deployment URL, users ensure the application is correctly configured to handle requests.
Installation
Users have the option to install the interface via pre-built packages or from source. The latter involves cloning the repository, modifying configuration files to suit individual requirements, installing dependencies, and starting the development server. This process allows for full customization and local testing.
Upcoming Features
The project continues to evolve, with a roadmap of upcoming features including:
- Voice input support
- Ability to send images to leverage vision language models
- Response regeneration capability
- Import and export of chat sessions
Technical Architecture
This project leverages several modern technologies to deliver its features:
- NextJS: A robust React framework for building web applications.
- TailwindCSS: A utility-first CSS framework designed for fast UI development.
- Shadcn-UI and Shadcn-Chat: Components developed using Radix UI and Tailwind CSS specifically for NextJS/React projects.
- Framer Motion: A library for adding motion and animation to React applications.
- Lucide Icons: A versatile icon library for enhancing visual components.
Further Information
For those interested in learning more and exploring similar projects, resources such as articles and recommendations are available in the project documentation. These links provide insights into how to deploy and customize personal versions of popular AI-based interfaces quickly and effectively.