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import gradio as gr | |
from fastai.vision.all import * | |
learn = load_learner('export.pkl') | |
labels = learn.dls.vocab | |
def classify_image(img): | |
pred,idx,probs = learn.predict(img) | |
return {labels[i]: float(probs[i]) for i in range(len(labels))} | |
title = "Planets Classifier" | |
examples = ['./imgs/mars.jpg', './imgs/earth.jpg', './imgs/sun.jpg', './imgs/pluto.jpg'] | |
iface = gr.Interface( | |
fn=classify_image, | |
inputs=gr.inputs.Image(shape=(512, 512)), | |
outputs=gr.outputs.Label(num_top_classes=3), | |
title=title, | |
examples=examples, | |
) | |
iface.launch(inline=False) |