app.py

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

learner_inf = load_learner('banana.pkl')

labels = learner_inf.dls.vocab


def predict(img):
    img = PILImage.create(img)
    pred, pred_idx, probs = learner_inf.predict(img)
    return {label: float(probs[i]) for i, label in enumerate(labels)}

gr.Interface(
    fn=predict,
    inputs=gr.inputs.Image(shape=(192,192)),
    outputs=gr.outputs.Label(num_top_classes=3)
).launch(share=True)