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


learner = load_learner("model.pkl")

classes = learner.dls.vocab
def classify_image(image):
    pred, idx, probs = learner.predict(image)
    return dict(zip(classes,map(float,probs)))


image = gr.Image()
label = gr.Label()
examples = ['cat.jpg', 'dog.jpg',"dunno.jpg"]

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