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

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

learn = load_learner('model.pkl')

categories = ['cat', 'dog']

def predict_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 = ["cat.jpg", "dog.jpg"]
gr.Interface(fn=predict_image, inputs=image, outputs=label, capture_session=True).launch()