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

plt = platform.system()
if plt != 'Windows': pathlib.WindowsPath = pathlib.PosixPath

learner_dir = pathlib.Path('cat_dog_model.pkl')

learn = load_learner(learner_dir)
labels = learn.dls.vocab

def predict(img):
    img = PILImage.create(img)
    pred,pred_idx,probs = learn.predict(img)
    return {labels[i]: float(probs[i]) for i in range(len(labels))}

title = "Cat or dog?"
description = "Guesses whether the picture is of a cat or a dog"

gr.Interface(fn=predict, inputs=gr.components.Image(shape=(512, 512)), outputs=gr.components.Label(num_top_classes=3), title=title,description=description).launch()