app.py

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

learn = load_learner('export.pkl')
labels = learn.dls.vocab

def classify_image(img):
    pred,idx,probs = learn.predict(img)
    return {labels[i]: float(probs[i]) for i in range(len(labels))}

title = "Planets Classifier"
examples = ['./imgs/mars.jpg', './imgs/earth.jpg', './imgs/sun.jpg',  './imgs/pluto.jpg']

iface = gr.Interface(
    fn=classify_image,
    inputs=gr.inputs.Image(shape=(512, 512)),
    outputs=gr.outputs.Label(num_top_classes=3),
    title=title,
    examples=examples,
    )
iface.launch(inline=False)