app.py

import gradio as gr
from fastai.vision.all import *
learn = load_learner('model.pkl')
catagories = ('Mega', 'Nano', 'Uno')
def classify_image(img):
	pred,idx,probs = learn.predict(img)
	return dict(zip(catagories, map(float,probs)))

image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['uno.jpg', 'nano.jpg', 'mega.jpg']

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