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

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

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

# Cell
learn = load_learner('model.pkl')

# Cell
categories = ('scofield', 'spiderman')

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

# Cell
image = gr.Image()
label = gr.Label()
examples = ['scofield.png', 'spiderman.png', 'spido-scofield.png']

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