app.py

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


learn = load_learner("models/dogs_breeds_uncleaned.pkl")

labels = learn.dls.vocab


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


title = "Classificador de raças"
description = "Raças disponíveis: Yorkshire, Pequinês, Shih-tzu e Spitz Alemão"

gr.Interface(
    fn=predict,
    inputs="image",
    outputs="label",
    title=title,
    description=description,
).launch(share=True)