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

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

learn = load_learner('model.pkl')

categories = ('dog', 'cat')

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

intf = gr.Interface(fn=classify_images,inputs=gr.Image(type='pil'),outputs=gr.Label(),examples=['cat.jpeg', 'dog.jpeg', 'dunno.jpeg'])
intf.launch(inline=False)