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

def is_cat(x): return x[0].isupper()
learn = load_learner('model.pkl')

categories = ('cat', 'forest')

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

image = gr.Image(height=192, width = 192)
label = gr.Label()
examples = ['cat.jpg', 'forest.jpg']

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