app.py

import os
from huggingface_hub import from_pretrained_fastai
from fastai.vision.all import *
import gradio as gr
from gradio.components import Image
from gradio import Label

import pathlib
plt = platform.system()
if plt == 'Linux':
    pathlib.WindowsPath = pathlib.PosixPath

learner = load_learner('model.pkl')
labels = learner.dls.vocab


def predict_fn(img):
    pred, pred_idx, probs = learner.predict(img)
    return {labels[i]: float(probs[i]) for i in range(len(labels))}


gr.Interface(predict_fn,
             Image(shape=(512, 512)),
             outputs=Label(num_top_classes=3),
             ).launch()