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

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

categories = ('Cat', 'Dog')

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


image = gr.Image()
label = gr.Label()
examples = ['doggie.jpg','cat.jpeg','hybrid.jpg']

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