Steven Mendoza

In this quick guide, I will show you how to build your own Python app with a GUI using Tkinter or PyQt, and distribute it as an executable file. Currently, this approach has only been tested on Windows, but similar steps can be applied to macOS or Linux with some adjustments. I’ll update this post once I confirm those details Create Your Python Project in a Dedicated Environment You can create your Python project however you prefer. I tend to use PyCharm because it makes it easy to manage environments. I will also be using command prompt, PowerShell acts

Update: March 4th, 2025 TailwindCSS v4 is out now and much easier to setup than v3. You can check the official guide to setup TailwindCSS for Vite here. Once setup, you can skip the Tailwind setup below. Dark mode used to be a pain to implement, requiring complex CSS and state management. With Tailwind CSS, you can add a fully functional dark mode system to your React app in minutes. I’ll show you how to set it up with just a few configuration steps and components. First start by creating a Vite React project with npm create vite@latest or

Building on my previous guide about Ollama chatbots, let’s explore how to leverage AI vision capabilities offline. Using models like LLaVA (Large Language-and-Vision Assistant), you can analyze images locally without relying on cloud services or API costs. Setting Up AI Vision Models If you’ve already installed Ollama, you’re just one command away from using AI vision. If not check out my last post for a quick setup of Ollama. Here’s how to get started: Download LLaVA models: ollama run llava:7b Analyze Images: # Navigate to desired image directory and runollama run llava "describe this image: ./art.jpg"# Or if already

Generative AI tools like ChatGPT, Gemini, or Claude have been a game-changer for many use cases, but they don’t come without drawbacks. Privacy concerns, costs, and reliance on internet connectivity can be significant hurdles for some users. Ollama solves these issues by giving users more control, allowing them to self host open-source LLMs on their own machines. In just a few steps, you’ll have your own free, local LLM at your fingertips. Plus, with Ollama’s API and libraries, you can integrate this powerful AI into your own applications. Getting Started with Ollama 1. Download and Install: Head over to