gradio.Interface

Gradio is an open-source library for building custom, interactive user interfaces for machine learning models. The `Interface` class in Gradio is the main component used to create user interfaces. It allows you to define the inputs and outputs of your machine learning model, as well as any additional configuration options or instructions for the user.

Here's an example of how to use the `Interface` class in Gradio:

import gradio as gr

def predict_gender(name):
    if name[-1] in ['a', 'e', 'i', 'o', 'u']:
        return 'female'
    else:
        return 'male'

iface = gr.Interface(fn=predict_gender, 
                     inputs=gr.inputs.Textbox(label="Enter a name"), 
                     outputs="text",
                     title="Gender Predictor",
                     description="Enter a name and predict the gender")

iface.launch()

In this example, we define a function `predict_gender` that takes a name as input and returns a gender prediction. We then create an instance of the `Interface` class, specifying the function to use, the input type (a textbox), the output type (text), and a title and description for the interface. Finally, we launch the interface using the `launch` method.