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

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

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

learn = load_learner('bus_house_model.pkl')

categories = ('Bus', 'House')

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 = ['bus.jpg', 'house.jpg', 'dunno.jpg']

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