import os
from huggingface_hub import from_pretrained_fastai

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

SECRET_TOKEN = os.getenv("SECRET_TOKEN")
repo_id = "artificeresearch/spiritvision"
learner = from_pretrained_fastai(repo_id)
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()