AI Project: How to Deploy a Hugging Face Model as a REST API (with Flask)
You’ve built amazing AI models with Hugging Face, but they’re stuck in your script. Want to know how to deploy Hugging Face API so other…
AI Project: Speech-to-Text with Hugging Face (OpenAI Whisper)
You’ve used the Hugging Face pipeline to understand text and images. Now, let’s teach it to understand audio using Hugging Face Speech to Text. We…
Django Project: Building a Simple Comment System
A blog isn’t complete until users can comment. This project will teach you one of Django’s most important concepts: database relationships (ForeignKeys). Building a Django…
PyScript Project: Load and Analyze a User’s CSV File in the Browser
This is the ultimate goal of PyScript for Data Science: building a tool that lets your users analyze their own data, all inside their browser….
AI Project: Multi-Label Text Classification with Hugging Face
We’ve done single-label classification (e.g., “POSITIVE” or “NEGATIVE”). But what if a text can be both? A news article could be about “POLITICS” and “FINANCE”….
AI Project: Build an Image Classifier with Hugging Face (Vision)
We’ve used Hugging Face to understand text and generate text. Now, let’s use it to understand images with Hugging Face Image Classification. Image Classification is…
Automation Project: Extract Table Data from Images to Excel (OCR)
This project is a perfect example of “Automating the Boring Stuff.” In this tutorial, we’ll walk through using Python OCR to Excel as we combine…
AI Project: Text Classification with Hugging Face (The Manual Way)
The Hugging Face pipeline is great for simple tasks, and it’s particularly well-known for Hugging Face Text Classification. But what if you need the raw…
Full-Stack Python: A PyScript Dashboard with Hugging Face & Polars
This is the future. Our dashboard will showcase how you can combine PyScript, Hugging Face, and Polars to create advanced data apps. We are going…
AI Project: Text Generation with gpt-2 (Hugging Face)
We’ve used the Hugging Face pipeline to understand text (sentiment-analysis) and answer questions (question-answering). Now, let’s use it for its most famous task: Text Generation….
