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

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

learner = load_learner('model.pkl');

categories = ('Dog', 'Cat');

def classify_image(img):
	pred, idx, probs = learner.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', 'dunno.jpg'];

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