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

learn = load_learner('model.pkl')

categories = ('!bat', 'bat')

def classify_bat(img):
    label,_,probs = learn.predict(img) 
    return dict(zip(categories, 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, examples=examples)
iface.launch()