OpenUI tutorial: setup, UI edits and Ollama models

This tutorial, uploaded May 4, 2024, demonstrates OpenUI for generating and editing frontends through text prompts. The examples use GPT-3.5 Turbo and GPT-4, with Ollama presented as a way to run models locally. No OpenUI release version or separate recording date is supplied, so the setup and model support describe the tutorial's 2024 context.

The speaker installs the open source project from its repository, creates a Conda environment with Python 3.10, installs the backend requirements and starts a local server. The initial setup uses an OpenAI API key. For local inference, he explains that a running Ollama instance lets OpenUI detect available models for selection.

The walkthrough builds a login form, changes individual fields through element selection and adds a signup button. It also covers desktop, tablet and mobile previews, chat history, conversion to React, and copying or downloading generated code. OpenUI generates the frontend; the speaker explicitly says it does not build the application backend.

Screenshot recreation produces a less reliable result. Attempts to correct icons fail, including after a switch to GPT-4. The speaker identifies LLaVA as the supported local image-recognition option at the time. A later pricing-page example shows text prompts correcting card widths and button alignment. These examples demonstrate iterative UI work rather than a guarantee of complete, functional applications from one prompt.