__all__ = ['learn', 'classify_image', 'categories', 'images', 'labels', 'examples', 'intf']

from fastcore.all import *
from fastdownload import download_url
from fastai.vision.all import *
import gradio as gr


learn = load_learner('model.pkl')

categories = ('Cheetah', 'Falcon', 'Sailfish')

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

images = gr.inputs.Image(shape = (192, 192))
labels = gr.outputs.Label()
examples = ['cheetah.jpg', 'falcon.jpg', 'sailfish.jpeg']

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