Setting Up the Open WebUI Interface with Docker | Alpha | PandaiTech

Setting Up the Open WebUI Interface with Docker

How to install Docker and set up Open WebUI to get a ChatGPT-like visual interface (GUI) for your local models.

Learning Timeline
Key Insights

Offline Usage

Once the initial 'Sign Up' process is complete, you can use Open WebUI entirely without an internet connection (offline).

Docker Management

You don't need to perform any configurations within the Docker application. Simply keep it open and running in the background (minimized) for the Open WebUI container to function.

Model Selection

Through the Open WebUI interface, you can flexibly switch between AI models (such as DeepSeek R1 or Llama 3.3) to suit your specific tasks.
Step by Step

Docker Installation and Open WebUI Configuration

  1. Visit the official Docker website and download the installer compatible with your computer's operating system.
  2. Once the download is complete, move the Docker file into your 'Applications' folder.
  3. Search for the Docker application using your computer's search function and double-click to open it.
  4. On the 'Welcome' screen, click the 'Skip' button to skip the account registration process.
  5. Ensure the Docker window shows the 'Running Containers' status (even if the container list is still empty).
  6. Click the 'Minimize' button on the Docker window. Do not close the application as it must remain running in the background.
  7. Go to 'docs.openwebui.com' to access the official documentation.
  8. Find the section titled 'If Ollama is on your computer' and copy the Command code provided.
  9. Open the Terminal application on your computer.
  10. Paste the copied Command code into the Terminal and press 'Enter'.
  11. Open your web browser and access the provided localhost address (it usually opens automatically or can be accessed via a new tab).
  12. Click the 'Sign Up' button on the Open WebUI screen to create an interface access account.
  13. Enter the required information and click 'Sign In' to enter the main dashboard.

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