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import gradio as gr | |
from transformers import pipeline | |
title = 'Interactive Demo for Image Classification' | |
des = 'Demo for image classification using Vision Transformer built by Google Brain' | |
article = "<p style='text-align: center'><a href='https://www.linkedin.com/in/oayodeji/'>Space by Wvle</a> | <a href='https://arxiv.org/abs/2010.11929'>ViT</a>" | |
pipe = pipeline("image-classification") | |
gr.Interface.from_pipeline(pipe, | |
title=title, | |
description=des, | |
article=article, | |
examples=[['cat.jpg'], ['dog.jpg'], ['elephant.jpg']] | |
).launch() |