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import pathlib |
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import platform |
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plt = platform.system() |
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if plt == 'Linux': pathlib.WindowsPath = pathlib.PosixPath |
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__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image'] |
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from fastai.vision.all import * |
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import gradio as gr |
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learn = load_learner('food.pkl') |
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categories = ('burger', 'chilly potato', 'chowmein', 'french fry', 'fried rice', 'momos', 'pizza', 'spring roll') |
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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=(224,224)) |
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label = gr.outputs.Label() |
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examples = ['chillypotato.jpg', 'friedrice.jpg', 'momos.jpg'] |
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intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples, |
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title='Fast Food Classifier', |
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description="Insert an image of one of the following: Burger, Chilly Potato, Chowmein, French Fries, Fried Rice, Momos, Pizza or Spring Roll" |
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) |
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intf.launch() |
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