import fastai

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


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

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

learn = load_learner('export.pkl')
categories = ('Indian', 'Russian')

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 = ['GOPRO0915.jpg', 'IMG_5618.jpg', 'russian-mail.jpg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)