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import gradio as gr
from fastai.vision.all import *
learner = load_learner("subaru-gen-model.pkl")
categories = (
"Fifth-gen Forester",
"First-gen Forester",
"Fourth-gen Forester",
"Second-gen Forester",
"Third-gen Forester",
) # access using data loader vocab attribute
def classify_image(image):
pred, idx, probs = learner.predict(image)
return dict(zip(categories, map(float, probs)))
image = gr.Image(height=192, width=192)
label = gr.Label()
examples = [
"1998-subaru-forester.jpg",
"2010-subaru-forester.jpg",
"2020-subaru-forester.jpg",
]
iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
if __name__ == "__main__":
iface.launch()
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