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

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


learn = load_learner('model.pkl')

categories = ('Oslo', 'Warszawa')


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



def greet(name, intensity):
    return "Hello " * intensity + name + "!"

image = gr.Image()
label = gr.Label()

examples = ['oslo.jpeg', 'warszawa.jpg']


demo = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples);

demo.launch()