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from fastai.vision.all import load_learner
import gradio as gr
# def is_maths(x): return x[0].isupper()
learn = load_learner("model.pkl")
categories = ('Make Noise Maths', 'Make Noise Mimeophon')
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
image = gr.Image(type="pil")
label = gr.Label()
examples = [
"images/make-noise-maths.jpg",
"images/make-noise-mimeophon.jpg"
]
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False) |