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from fastai.vision.all import *
import gradio as gr
learn = load_learner('ice_cream_flavors.pkl')
categories = learn.dls.vocab
def classify_image(img):
pred,idx,probs = learn.predict(img)
return(dict(zip(categories, map(float,probs))))
image = gr.inputs.Image(shape=(192,192))
label = gr.components.Label()
examples = ['berry.jpg', 'chocolate.jpg', 'mint_choc.jpg', 'vanilla_soft.jpg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples,
title = 'Ice cream flavor classifier')
intf.launch(inline=False) |