Omid TeimooriEngineer & educator
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Tool / Open source

Local AI Assistant

A lightweight web interface for a local LLM, with readable code examples.

Repository: local-llm-assistant

The actual Local LLM Assistant interface with a question box, temperature control, and answer panel
Original interface, shown before generating a response. Project source ↗

In practice

Explore programming questions with a local model.

Explore a local AI workflow with Ollama and a simple web front end.

The task
A programming learning tool should work with a local model and readable code examples, without requiring an external API key.
My contribution
I built a web interface for Ollama with Markdown rendering, syntax highlighting, temperature controls, and copy-code buttons. Helper scripts support macOS and Windows setup.
The result
The interface is designed for JavaScript, SQL, and HTML questions. Bundled front-end assets support offline use once the model and runtime are installed.

Capabilities

  • Uses Ollama as the local model runtime.
  • Code examples with syntax highlighting.
  • Supports learning around JavaScript, SQL, and HTML.
Start the macOS helper · inside the downloaded project folder
chmod +x scripts/run-mac.sh
./scripts/run-mac.sh

The helper installs Ollama if needed, downloads the configured model, and starts the interface. Internet access is needed for initial downloads.

Windows, macOS, and manual setup ↗