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from fastai.vision.all import *
import gradio as gr
# Cell
learn = load_learner("model-resnet18.pkl")
# Cell
categories = learn.dls.vocab
def classify_image(img):
pred, idx, probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
# Cell
image = gr.inputs.Image(shape=(256, 256))
label = gr.outputs.Label()
examples = ["dragon.jpg", "monster.jpg"]
app = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
app.launch()
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