Learn how to create and demo machine learning applications quickly.
Beginner1h9m
Building Machine Learning Demos with Gradio
Instructor: Apolinário Passos
Earn an accomplishment with PRO · Updated Oct 7, 2025
- Beginner
- 1h9m
- 7 Video Lessons
- 5 Code Examples
- 2 Graded Assignments PRO
- Earn an accomplishment with PRO
- Updated Oct 7, 2025
- Instructor: Apolinário Passos
Hugging Face- Learn more aboutMembership PRO Plan
What you'll learn
Build your own image generation, image captioning, and text-summarization apps.
Share your app with teammates, beta testers, and more on Hugging Face Spaces.
Course recap
PROBuilt in partnership with Hugging Face and taught by Apolinario Passos (Poli), this course teaches how to use Gradio to quickly build user interfaces for generative AI applications directly in Python, without any frontend or JavaScript code. Students build demos for text summarization, named entity recognition, image captioning, image generation with diffusion models, and LLM-based chatbots.
Concept map
Key concepts
- GradioPython library for creating web-based ML model interfaces without frontend code
- Rapid demo buildingGoing from trained model to interactive demo in minutes
- Text generation interfacesBuilding UIs for summarization, NER, and chatbot applications
- Image generation interfacesBuilding UIs for diffusion model-powered image generation
- Sharing and feedbackMaking demos accessible for gathering user feedback
About this course
Join our new short course, Building Generative AI Applications with Gradio! Learn from Apolinário Passos, Machine Learning Art Engineer at Hugging Face.
What you’ll do:
- With a few lines of code, create a user-friendly app (usable for non-coders) to take input text, summarize it with an open-source large language model, and display the summary.
- Create an app that allows the user to upload an image, which uses an image to text (image captioning) to describe the uploaded image, and display both the image and the caption in the app.
- Create an app that takes text and generates an image with a diffusion model, then displays the generated image within the app.
- Combine what you learned in the previous two lessons: Upload an image, caption the image, and use the caption to generate a new image.
- Create an interface to chat with an open source LLM using Falcon, the best-ranking open source LLM on the Open LLM Leaderboard.
By the end of the course, you’ll gain the practical knowledge to rapidly build interactive apps and demos to validate your project and ship faster
Who should join?
Anyone who has basic Python knowledge and wants to learn to quickly build and share apps and demos using Gradio!
Course Outline
7 Lessons・5 Code Examples- IntroductionVideo・1m
- NLP Tasks interfaceVideo with Code Example・14m
- Image Captioning appVideo with Code Example・4m
- Image generation appVideo with Code Example・11m
- Describe and Generate GameVideo with Code Example・4m
- Chat with any LLMVideo with Code Example・12m
- ConclusionVideo・1m
- Quiz
Graded・Quiz
・10m - Quiz
Graded・Quiz
・10m
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Instructor
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