Gradio
Open-source Python library for building shareable ML model UIs.
About Gradio
Gradio is an open-source Python library for building web interfaces around machine learning models, APIs, or any Python function, without writing frontend code. A developer wraps an existing function in a few lines of Python, and Gradio generates a browser-based interface with matching input and output components, covering more than 40 data types including images, audio, video, 3D models, dataframes, text, and chat. The project was first released in 2019, originally built to let researchers demo computer vision models without a web development background, and it was later acquired by Hugging Face, which continues to develop it. A finished interface can be shared instantly through a temporary public link generated from a local machine, or hosted permanently on Hugging Face Spaces with automatic scaling. A JavaScript client is also available for applications that need to call an existing Gradio app from outside Python. According to Hugging Face, Gradio is used by more than a million developers each month. Because Gradio is a Python library rather than a hosted product, using it requires writing and running Python code; teams without a Python-based backend or ML pipeline will need a different approach to expose a model through a shareable interface.
At a glance
- Company
- Hugging Face (est. 2019)
- Platforms
- Web
- Integrations
- Hugging Face Spaces
- Last verified
- August 2026
Who It's For
- •Machine learning engineers
- •Data scientists
- •AI researchers
- •Developers who want to share their models easily
How It Works
- 1Users define input and output components (e.g., text boxes, image uploaders, labels) in Python.
- 2They wrap their machine learning model or Python function with `gradio.Interface`.
- 3Gradio then automatically generates a web interface based on these definitions.
- 4The interface can be run locally or shared publicly via a temporary link.
How to Use Gradio
- 1Install Gradio using pip: `pip install gradio`.
- 2Import gradio: `import gradio as gr`.
- 3Define a function that takes inputs and returns outputs corresponding to your model or logic.
- 4Create a Gradio Interface object: `gr.Interface(fn=your_function, inputs='input_type', outputs='output_type')`.
- 5Launch the interface: `iface.launch()`.
Key Features
- •40+ prebuilt UI components for ML demos
- •Instant shareable public links for local demos
- •Permanent hosting on Hugging Face Spaces with autoscaling
- •JavaScript client for consuming Gradio apps
- •Simple Python API requiring no frontend code
Use Cases
- •Build a web demo for a machine learning model in a few lines of Python
- •Share a local ML prototype with a public link for feedback
- •Host a permanent ML demo on Hugging Face Spaces
Pros & Cons
Advantages
- •Extremely easy and fast to set up interactive demos for ML models.
- •Requires minimal coding, focusing solely on Python.
- •Allows for effortless sharing of models with a generated public link.
- •Supports a wide range of input and output types for diverse applications.
Disadvantages
- •Less customization options for UI compared to building a custom web application.
- •Performance can be limited by the underlying Python function's execution time.
- •Not designed for complex, production-ready web applications.
Alternatives
- Streamlit
- Dash
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Frequently Asked Questions
What is Gradio?
Gradio is an open-source Python library for building web interfaces around machine learning models, APIs, or any Python function, without writing frontend code. A developer wraps an existing function in a few lines of Python, and Gradio generates a browser-based interface with matching input and output components, covering more than 40 data types including images, audio, video, 3D models, dataframes, text, and chat.
How much does Gradio cost?
Gradio is free to use.
Is Gradio free?
Yes, Gradio offers a free plan you can start with.
What are the best Gradio alternatives?
Popular Gradio alternatives include Streamlit, Dash.
What is Gradio used for?
Gradio is commonly used for Build a web demo for a machine learning model in a few lines of Python, Share a local ML prototype with a public link for feedback, Host a permanent ML demo on Hugging Face Spaces.
What platforms does Gradio support?
Gradio is available on Web.
Information Accuracy
Please note: While we regularly update all tool information including descriptions, features, pricing, and other details, this information may change over time as tools evolve and update their offerings. For the most current and accurate information, we recommend visiting the official website directly. Our goal is to provide you with comprehensive and up-to-date information to help you make informed decisions.