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from fastai.vision.all import *
import gradio as gr
categories = ('Chinese', 'Korean')
learn = load_learner('model.pkl')
def classify_image(img):
pred, idx, prob = learn.predict(img)
return dict(zip(categories, map(float, prob)))
image = gr.Image()
label = gr.Label()
examples = ['Beijing_hot_pot.jpg', 'chinese_hot_pot.jpg', 'Korean_hot_pot.jpg', 'dumpling_hot_pot.png']
title = "Chinese vs. Korean Hot Pot Classifier " + "\U0001F60B"
description = "Built with <3 by your biggest hot pot fan!"
demo = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples, allow_flagging = "never", title=title, description=description)
demo.launch(inline=False) |