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

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

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

learn = load_learner('model.pkl')

# %% app.ipynb 6
categories = ('Dog','Cat')

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


image = gr.Image(type="pil", width=192, height=192)
label = gr.Label()
examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']

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