# __all__ = []

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

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

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

categories = ('Dog', 'Cat')

def classify_image(img):
    pred,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 = ['dog.jpg', 'cat.jpg', 'two-dog.jpg']

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