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

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

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

learn = load_learner('model.pkl')

categories = ('Dog','Cat')

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

image = gr.Image(sources="upload")
label = gr.Label()
examples = ['./Cat.jpg','./dog.jpg','./heh.jpg']

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