app.py

import os
from huggingface_hub import hf_hub_download
from fastai.learner import load_learner

import gradio as gr
from gradio.components import Image
from gradio import Label

SECRET_TOKEN = os.environ["SECRET_TOKEN"]

# learner = from_pretrained_fastai("artificeresearch/spiritvision")
learner = load_learner(hf_hub_download("artificeresearch/spiritvision", "model.pkl", token=SECRET_TOKEN))
labels = learner.dls.vocab


def predict_fn(img):
    """
    :param img: img is a PIL image object
    :return: prediction and probabilities
    """
    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()