from fastai.vision.all import *
import gradio as gr
import pathlib
plt = platform.system()
if plt == 'Windows':  pathlib.WindowsPath = pathlib.PosixPath

learn = load_learner('export.pkl')

categories = ('Great White', 'Hammerhead', 'Tiger')

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 = ['white.jpg', 'hammer.jpg', 'tiger.jpg']

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