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Octopus.jpg
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Squid.jpg
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app.py
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import gradio as gr
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from fastai.vision.all import *
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import gradio as gr
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def Octopus_or_Squid(x): return x[0].isupper()
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learn = load_learner('model.pkl')
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categories = ('Octopus','Squid')
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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=['Octopus.jpg','Squid.jpg']
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intf=gr.Interface(fn=classify_image,inputs=image,outputs=label, examples=examples)
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intf.launch(inline=False)
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model.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:b9924f7bf04bfd587c89c6c418c95a94d827c07cf18380d72463016cc5e23562
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size 46954777
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