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"""app.ipynb |
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Automatically generated by Colaboratory. |
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Original file is located at |
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https://colab.research.google.com/drive/1vlBRU28F38BKH1XkEkhTGHIb4Si-o1Dt |
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""" |
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"""Untitled42.ipynb |
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Automatically generated by Colaboratory. |
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Original file is located at |
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https://colab.research.google.com/drive/1E2wzzc6nLLxlKiOSWLuRYe2ormOLQcuN |
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""" |
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__all__ = ['learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf'] |
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from fastai.vision.all import * |
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import gradio as gr |
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import timm |
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learn = load_learner('model.pkl') |
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categories = learn.dls.vocab |
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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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label = gr.outputs.Label() |
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examples = ['beefsteak.jpeg','cherry.jpeg','grape.jpeg','green.jpeg','heirloom.jpeg', 'kumato.jpeg','roma.jpeg'] |
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intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) |
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intf.launch() |
