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from fastai.vision.all import *
import gradio as gr


learn = load_learner('vanillaorcoffee.pkl')
categories = ('coffee', 'vanilla')

def classify_image(img):
    pred, idx, probs = learn.predict(img)
    return dict(zip(categories, map(float, probs)))

image = gr.Image()
label = gr.Label()


examples = ['vanilla.jpg', 'coffee.jpg']

intf = gr.Interface(fn = classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)