app.py

import gradio as gr
from transformers import pipeline

pipe = pipeline(task="image-classification", 
                # model that can do 22k-category classification
                model="microsoft/beit-base-patch16-224-pt22k-ft22k")
gr.Interface.from_pipeline(pipe, 
                           title="22k Image Classification",
                           description="Object Recognition using Microsoft BEIT (22k classes)",
                           examples = ['data/wonder_cat.jpg', 'data/aki_dog.jpg',],
                           article = "Author: <a href=\"https://huggingface.co/rowel\">Rowel Atienza</a>",
                           ).launch()