Building AI Apps with Hugging Face and Python

Want to go beyond theory and start building real AI applications? This hands-on guide shows you how to use Hugging Face Transformers with Python to create working NLP and machine-learning projects from scratch.
Inside you'll discover step-by-step tutorials on everything from fine-tuning pretrained models to deploying NLP models to the cloud. You'll learn to work with Gradio and Hugging Face Spaces, build and share interactive demos, and understand best practices for environment setup, version control, and reproducible experiments.
By the end of this book you'll be able to:
Build and customize AI apps with Python
Run natural language processing projects in Python using pipelines, tokenizers and datasets
Fine-tune and evaluate machine-learning models on your own data
Deploy and showcase models on Hugging Face Spaces and other platforms
Clear explanations, runnable code, and practical tips make this the perfect resource for developers, data scientists, and students who want to quickly master modern NLP tools and bring their ideas to life.
Whether you're a beginner exploring Python AI and machine learning projects or a professional adding cutting-edge NLP to your stack, this book gives you the roadmap and tools to succeed.