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Gradio

Build & share delightful ML apps with ease.

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About

Gradio is an AI tool designed to provide an efficient method for creating and sharing machine learning applications with a user-friendly web interface.

It allows developers to quickly demo their machine learning models, enabling easy interaction with their models for anybody from any location. The tool can be installed with pip, and creating a Gradio interface requires only a couple of lines of code, allowing for a fast and easy setup.

The system is compatible with any Python library on a user’s computer, and if a Python function can be written, Gradio has the ability to run it. Gradio provides options to share the interface: it can be integrated into Python notebooks or presented as a webpage.

The Gradio interface can generate a public link that can be shared with colleagues, facilitating remote access and interaction with the model from their devices.

Once an interface is established, the tool provides the option for permanent hosting on Hugging Face. This is a platform that hosts the interface on its servers and provides a link for sharing.

Gradio has been utilized across a wide variety of industries, signifying its adaptability and versatility in machine learning operations. It enables the creation of a seamless link between machine learning models and their intended users, making machine learning technologies more accessible and easier to apply.

Gradio interface showing homepage

Key Features

Interactive ML apps
Fast and easy installation
Supports permanent hosting
Variety of tasks
Webpage presentation
Python notebook embedding
Create ML apps
Sketch recognition
Question answering
Image segmentation
Time series forecasting
Video-related deep learning
Dinosaur classifier
Text-to-speech demo
Fast to demo models
Intuitive web interface
Interface requires a couple lines of code
Interface can be shared
Gradio used by developers
Supports Hugging Face Spaces

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Information

Pricing

Pricing No Pricing
Favorites 0
Release Date June 27, 2022
Website gradio.app

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