Gradio

Put a beautiful interactive demo layer over your trained ML model.

Getting started

Gradio (gradient input-output) is a python library that allows you to easily transform your trained model into a webpage that easily allows you to interface with it. This allows you to:

Show off the model to others
Identify response to unusual behavior
Encourage fairness and reproducibility of your model

Gradio is designed to be very simple to use. For example, in just 2 lines of Python code, you can create a sketchpad that allows you write digits and see whether your MNIST model can correctly identify them.

Installation

Gradio is a standard python library, so install it from your terminal like this:


                  pip install gradio

Usage

To use gradio in your code, simply import it, and then launch the appropriate interface


                  import gradio 

                  import tensorflow as tf 
   


                  model = tf.keras.Sequential() 

                  # Define your model, as you ordinarily do 

                  # Train your model, as you ordinarily do 
   


                  gradio.interfaces.Sketchpad(model=model, model_type='keras').launch()

This will open a new browser window which will allow you to draw into a "sketchpad". Behind the scenes, gradio transforms the user drawing into a numeric array and passes it into your model for your prediction. Then, gradio will fetch the result and show it to the user. Like this:

Currently, the following model_type are supported:

Keras models
Sklearn models
Arbitrary python functions

See the gallery of interfaces below to see what kind of interfaces can be supported. Contribute your own interfaces by visiting our GitHub page.

Gallery of Interfaces

Draw a Digit: allow users to draw their own digits to test MNIST-type models.

Emotion Detector: allow users to make emotions through their webcam and detect their emotion with your model.

Automated Author: use an RNN to generate a sequence of words beginning the words that the user has supplied