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app.py
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from fastai.vision.all import *
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import gradio as gr
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learn = load_learner('model.pkl')
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categories = ('Hijab','NotHijab',"Man")
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def classify_image(img):
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pred, idx,probs = learn.predict(img)
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return dict(zip(categories, map(float,probs)))
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image = gr.inputs.Image(shape=(192,192))
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lebel = gr.outputs.Label()
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examples = ['hijab.jpeg','nothijab.jpeg','man.jpeg']
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intf = gr.Interface(fn=classify_image, inputs=image, outputs=lebel,examples=examples)
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intf.launch(inline=False)
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