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

def is_cat(x): return x[0].isupper()

learn = load_learner('zebra_model.pkl')

categories = ('Zebra', 'Zebra_crossing')

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.outputs.Label()
examples = ['zebra.jpg', 'zebra_crossing.jpg']

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