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import gradio as gr
from fastai.vision.all import *
learn = load_learner("export.pkl")
categories = ["Lala", "02"]
def classify_img(img):
pred, idx, probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
image = gr.inputs.Image(shape=(128, 128))
label = gr.outputs.Label()
examples = ["lala.jpg", "02.png"]
title = "02 or lala classifier"
iface = gr.Interface(
fn=classify_img,
inputs=image,
outputs=label,
examples=examples,
title=title,
)
iface.launch(inline=False)
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