Awesome

LLM X

Privacy statement:

LLM X does not make any external api calls. (go ahead, check your network tab and see the Fetch section). Your chats and image generations are 100% private. This site / app works completely offline.

Issues:

LLM X (web app) will not connect to a server that is not secure. This means that you can use LLM X on localhost (considered a secure context) but if you're trying to use llm-x over a network the server needs to be from https or else it will not work.

Recent additions:

• LaTex support!
• Users can connect to open ai compatible servers
• Users can connect to multiple of the same server at the same time
• Text generation through LM Studio is here!

How To Use:

Prerequisites for application

• Ollama: Download and install Ollama
  • Pull down a model (or a few) from the library Ex: ollama pull llava (or use the app)
• LM Studio: Download and install LM Studio
• AUTOMATIC1111: Git clone AUTOMATIC1111 (for image generation)

How to use web client (no install):

Prerequisites for web client

• Ollama Options:
  • Use Ollama's FAQ to set OLLAMA_ORIGINS = https://mrdjohnson.github.io
  • Run this in your terminal OLLAMA_ORIGINS=https://mrdjohnson.github.io ollama serve
    • (Powershell users: $env:OLLAMA_ORIGINS="https://mrdjohnson.github.io"; ollama serve)
• LM Studio:
  • Run this in your terminal: lms server start --cors=true
• A1111:
  • Run this in the a1111 project folder: ./webui.sh --api --listen --cors-allow-origins "*"

• Use your browser to go to LLM-X
• Go offline! (optional)
• Start chatting!

How to use offline:

• Follow instructions for "How to use web client"
• In your browser search bar, there should be a download/install button, press that.
• Go offline! (optional)
• Start chatting!

How to use from project source:

Prerequisites for project source

• Ollama: Run this in your terminal ollama serve
• LM Studio: Run this in your terminal: lms server start
• A1111: Run this in the a1111 project folder: ./webui.sh --api --listen

Vite preview mode

• Pull down this project; yarn install, yarn preview
• Go offline! (optional)
• Start chatting!

Docker

• Run this in your terminal: docker compose up -d
• Open http://localhost:3030
• Go offline! (optional)
• Start chatting!

Goals / Features

• LM Studio integration!
• Text to Image generation through AUTOMATIC1111
• Open AI server support!
• Image to Text using Ollama's multi modal abilities
• Offline Support via PWA technology
• Code highlighting with Highlight.js (only handles common languages for now)
• Search/Command bar provides quick access to app features through kbar
• LaTex support
• Allow users to have as many connections as they way!
• Text Entry and Response to Ollama
• Auto saved Chat history
• Manage multiple chats
• Copy/Edit/Delete messages sent or received
• Re-write user message (triggering response refresh)
• System Prompt customization through "Personas" feature
• Theme changing through DaisyUI
• Chat image Modal previews through Yet another react lightbox
• Import / Export chat(s)
• Continuous Deployment! Merging to the master branch triggers a new github page build/deploy automatically

Screenshots:

Conversation about logo

Image generation example!

Showing off omnibar and code

Showing off code and light theme

Responding about a cat

LaTex support!

Another logo response

What is this? ChatGPT style UI for the niche group of folks who run Ollama (think of this like an offline chat gpt server) locally. Supports sending and receiving images and text! WORKS OFFLINE through PWA (Progressive Web App) standards (its not dead!)

Why do this? I have been interested in LLM UI for a while now and this seemed like a good intro application. I've been introduced to a lot of modern technologies thanks to this project as well, its been fun!

Why so many buzz words? I couldn't help but bee cool 😎

Tech Stack (thank you's):

Logic helpers:

• React
• Typescript
• Lodash
• Mobx State Tree

UI Helpers:

• Tailwind css
• DaisyUI
• NextUI
• Highlight.js
• React Markdown
• kbar
• Yet Another React Lightbox

Project setup helpers:

• Vite
• Vite PWA plugin

Inspiration: ollama-ui's project. Which allows users to connect to ollama via a web app

Perplexity.ai Perplexity has some amazing UI advancements in the LLM UI space and I have been very interested in getting to that point. Hopefully this starter project lets me get closer to doing something similar!

Getting started

(please note the minimum engine requirements in the package json)

Clone the project, and run yarn in the root directory

yarn dev starts a local instance and opens up a browser tab under https:// (for PWA reasons)

MISC

• LangChain.js was attempted while spiking on this app but unfortunately it was not set up correctly for stopping incoming streams, I hope this gets fixed later in the future OR if possible a custom LLM Agent can be utilized in order to use LangChain

  • edit: Langchain is working and added to the app now!

• Originally I used create-react-app 👴 while making this project without knowing it is no longer maintained, I am now using Vite. 🤞 This already allows me to use libs like ollama-js that I could not use before. Will be testing more with langchain very soon

• This readme was written with https://stackedit.io/app

• Changes to the main branch trigger an immediate deploy to https://mrdjohnson.github.io/llm-x/