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from fastai.vision.all import * |
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import gradio as gr |
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label = gr.components.Label(num_top_classes=3) |
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examples = ['Papilio glaucus.jpg','Papilio palamedes.jpg','Protographium marcellus.jpg','Papilio multicaudata.jpg', |
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'Parides photinus.jpg','Battus philenor.jpg', |
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'Papilio cresphontes.jpg','Parnassius smintheus.jpg','Papilio thoas.jpg'] |
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title="FlutterBy ST" |
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description="Detects the most common North American swallowtail and cattleheart butterflies. Provide an image or select from one below. Best results will come from a full frame posed shot. Trained on 8577 images over 51 species using ResNet50." |
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intf = gr.load(src='models',name='flobbit/flutterby/', |
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examples=examples, |
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title=title, description=description |
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) |
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intf.launch() |
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