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import gradio as gr
from fastai.vision.all import * # noqa: ruff[F403]
learner = load_learner("chemical.pkl") # noqa: ruff[F403]
def classify(img):
pred, idx, probs = learner.predict(img)
return dict(zip(("chemical plant", "power plant"), map(float, probs)))
ui = gr.Interface(
classify,
inputs=gr.Image(
label="Upload image of chemical or power plant",
type="filepath",
shape=(192, 192),
),
outputs=gr.Label(),
title="Chemical plant? Or Not?",
examples=["chemical.jpg", "power.jpg"],
)
ui.launch()
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