app.py

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

learn = load_learner('model.pkl')

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

demo = gr.Interface(
    fn=classify_image,
    inputs=gr.Image(),
    outputs=gr.Label()
)
demo.launch()