from fastai.vision.all import *
from gradio import Interface, components

learn = load_learner('model.pkl')
categories = learn.dls.vocab
examples = ['bird.jpg']

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

image = components.Image(shape=(192, 192))
label = components.Label()
a = 1

intf = Interface(
    fn=classify_image, inputs=[image], outputs=[label], examples=examples
)

intf.launch(debug=True)