Build Your First Hugging Face Mini-App
Discover how to create a simple, interactive Hugging Face mini-app that enables NLP or image tasks, transforming pretrained models into practical, usable applications.
Now that you understand Hugging Face pipelines, it’s time to put theory into practice. In this lesson, you’ll build a simple, interactive mini-app that uses a Hugging Face pipeline to process text or images. This hands-on experience will solidify your understanding of pipelines, model selection, and inference.
Why build a mini-app?
Many developers and data scientists understand models but struggle to deploy them in real-world scenarios. Mini-apps help bridge that gap:
Demonstrate end-to-end usage of models.
Provide interactive feedback for experimentation.
Teach you how to handle inputs, outputs, and parameters in a live setting.
Fun fact: Even the simplest Hugging Face app can give you the power of GPT, BERT, or ViT in just a few lines of code!
Step 1: Choose your task
Before writing code, decide what your mini-app will do, choosing from common options which include:
Text classification (sentiment analysis, spam detection)
Text generation (story completion, chatbot) ...