app.py

import gradio as gr
from transformers import pipeline

vision_classifier = pipeline(task="image-classification",
                             model="microsoft/beit-base-patch16-224-pt22k-ft22k")
iface = gr.Interface.from_pipeline(vision_classifier, 
                                   title="2-line Object Recognition using HF Pipeline",
                                   description="Demonstrates how to use HF pipeline and gradio.",
                                   examples=['data/wonder_cat.jpg', 'data/aki_dog.jpg',],
                                   article = "Author: <a href=\"https://huggingface.co/rowel\">Rowel Atienza</a>",
                                   ).launch()