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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) |