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import gradio as gr | |
from fastai.vision.all import * | |
learn = load_learner('model.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 = "Antique furniture style predictor" | |
description = "A small model for prediction of furniture style." | |
examples = ['jacobean.jpg', 'art_deco.jpg', 'sheraton.jpg'] | |
gr.Interface( | |
fn=predict, | |
inputs=gr.Image(), | |
outputs=gr.Label(num_top_classes=3), | |
title=title, | |
description=description, | |
examples=examples, | |
).launch() | |
iface.launch() |