Hugging Face Spaces 2026: Host AI Demos and Apps for Free With Gradio and Streamlit
You built a model or a script and want to show it off - but deploying a demo means cloud accounts, domain names and bills. Hugging Face Spaces removes all three. Here is the practical guide.
💡 What You Will Learn
You built a model or a script and want to show it off - but deploying a demo means cloud accounts, domain names and bills. Hugging Face Spaces removes all three. Here is the practical guide.
📜 Table of Contents
What Spaces Is
Hugging Face Spaces is a free hosting tier for AI demos and small apps, tightly integrated with the Hub. You push a repo containing an app file, and HF builds and serves it at hf.space with a URL like username/demo-name. No credit card, no domain, no server management.
The Two Main Frameworks
Gradio - the AI demo default. Declarative: you define inputs and outputs, and it renders a web UI. Perfect for model demos, and the framework behind most trending spaces.
import gradio as gr
def classify(text):
return "positive" # your model here
gr.Interface(fn=classify, inputs="text", outputs="label").launch()
Streamlit - a full app framework in Python. More flexible (charts, tabs, dataframes), better when the space is a real mini-app rather than a single demo.
What You Get for Free
- Unlimited public spaces (a few hundred hours/month of CPU; about 72 hours/month of the free small GPU tier)
- Automatic HTTPS, versioning, and one-click duplicate of any space
- Zero-config space SDK for serving a model directly from the Hub
- Community discovery: trending spaces are how thousands of people discover models
When It Is NOT the Right Tool
- Heavy production traffic (free tier throttles) - move to a real host
- Long-running jobs - spaces sleep after inactivity
- Enterprise data - data passes through HF infrastructure
Practical Tips
- Pin a requirements.txt; build time kills first impressions.
- Use the app.py plus README.md with the YAML front-matter (sdk: gradio, sdk_version: ...) so the space builds correctly.
- Add a small sample input so visitors can try without reading docs.
- Embed the space in your blog or GitHub README - it doubles as a GEO/SEO asset since the app page is indexable.
The 2026 Pattern
Model on the Hub + Gradio space + blog post = the standard indie AI launch kit. It costs $0 and reaches the largest open-source ML audience that exists.
