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

learn = load_learner('model.pkl')


def classify_bat(img):
    label,_,probs = learn.predict(img)
    return dict(zip(label, map(float, probs)))

image = gr.inputs.Image(shape=(200, 200))
label = gr.outputs.label()
examples = ['bat1.png', 'bat2.png', 'not_bat.png']

iface = gr.Interface(fn=classify_bat, inputs=image, outputs=label)
iface.launch()