app.py

# an image classification demo!

import torch
import gradio as gr

model1 = gr.Interface.load("huggingface/microsoft/beit-base-patch16-224")
model2 = gr.Interface.load("huggingface/google/vit-base-patch16-224")

gr.Parallel(model1, model2,
           examples=['cat.jpg', 'dog.jpg', 'alligator knife head.jpg', 'moskva.jpg']).launch()