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

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

# labelling function
def is_cat(x): return x[0].isupper()

learn = load_learner('model.pkl')

# create categories and classifying function for HuggingFace Space
categories = ('Dog', 'Cat')

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

image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['dog.jpg', 'cat.jpg', 'hybrid.jpg']

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