Nextjs Ollama Llm UI
A Next.js-based web interface for Ollama LLMs, offering a ChatGPT-like experience for local and offline model interaction with easy setup.
Next.js Ollama UI: Local & Feature-Rich LLM Interaction
This Next.js project provides a fully-featured web interface for Ollama Large Language Models, designed for ease of use and quick local setup. It offers a ChatGPT-inspired user experience, allowing you to interact with LLMs on your own machine, even offline. Chats are conveniently stored in localstorage, eliminating the need for a separate database, and the interface is fully responsive for use on any device.
Features:
- Beautiful & Intuitive UI: Experience a ChatGPT-inspired interface for enhanced usability.
- Fully Local Operation: Stores chats in localstorage, no database required.
- Fully Responsive Design: Seamlessly chat on desktop or mobile devices.
- Easy Setup: Clone the repository and get started quickly without complex configuration.
- Code Syntax Highlighting: Code within messages is automatically highlighted for readability.
- Easy Code Copying: Copy code blocks with a single click.
- Model Management: Download, pull, and delete Ollama models directly from the UI.
- Model Switching: Quickly switch between different LLM models.
- Chat History: Access and manage your saved chat conversations.
- Light & Dark Mode: Choose between light and dark visual themes.
- Voice Input Support: Enables interaction with LLMs using voice commands.
- Image Prompt Capability: Send images in prompts to utilize vision language models.
- Response Regeneration: Easily regenerate model responses for variations.
Summary:
The Next.js Ollama LLM UI empowers developers and users to run and interact with Ollama's large language models locally through a user-friendly, ChatGPT-like web interface. It simplifies model management, chat history, and offers features like code highlighting and responsive design, all with a straightforward setup process. This makes it an accessible tool for exploring LLMs privately and offline.

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