
In this lesson, we’ll build a practical Gradio app that integrates a Large Language Model (LLM) through LiteLLM. The app generates and previews HTML code instantly, giving students a hands-on example of how to connect an AI backend with a user-friendly interface.
Here’s what the app includes:
API Key Input – Connect securely to the LiteLLM backend.
⚡ Model Selection – Switch between different models (gpt-5-nano, gpt-5-mini, gpt-5) to balance speed and quality.
✍️ Prompt Box – Enter natural language requests (e.g., “A red button with rounded corners”).
Code Panel – Display the generated HTML code, ready to copy or refine.
Live Preview – Render the HTML output in real time, side by side with the code.
The key takeaway: You’ll learn how to wire up an LLM with Gradio’s Blocks API — passing prompts, receiving model responses, and updating both code and UI outputs dynamically.
Welcome to “Gradio From Zero to Hero: Build Interactive Python & AI Apps” — your step-by-step guide to creating interactive Python apps and Generative AI projects, even if you’ve never built a user interface before.
This course is a perfect starting point for learners who want to dive into Gradio and AI without needing HTML, CSS, or JavaScript.
You’ll learn by doing, building practical projects like calculators, chat apps, and AI-powered tools with Gradio and LiteLLM.
What you’ll learn
Gradio’s component-based design and how everything fits together
Build forms, tools, and interfaces using components like Textbox, Dropdown, and Image
Use layout systems (Interface, Blocks, TabbedInterface) to design clean, modular apps
Add state management so your apps can “remember” user input
Work with media (images, audio, video) for creative and ML projects
Handle user events like button clicks, text updates, and sliders
Connect to LLMs (OpenAI, Gemini, Anthropic, and more) using LiteLLM
Real Projects You’ll Build
Calculator App
Chat App with LiteLLM
AI-powered HTML Generator with Live Preview
Image Generator with Google Nano Banana
By the end of this course, you will:
Understand the core philosophy of Gradio
Be confident turning your Python ideas into real apps — from simple tools to AI-powered projects
Gain hands-on experience with both fundamentals and advanced AI integration
All you need is basic Python knowledge and curiosity — the rest we’ll build together.
Note on Gradio Version
This course is built using a stable Gradio 5.x version to ensure a smooth learning experience.
You can follow everything step by step without compatibility issues.
Newer Gradio versions (6.x and beyond) are evolving, and you’ll be able to upgrade easily after mastering the fundamentals.