Spaces:
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Sleeping
Abyszero
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b45f56d
1
Parent(s):
fed1100
jhfj
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README.md
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---
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title: Multilabel Classification
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sdk: gradio
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app_file:
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pinned: false
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---
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---
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title: Multilabel Classification
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sdk: gradio
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app_file: app.y
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pinned: false
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---
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app.py
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from fastai.vision.all import *
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learn = load_learner('model.pkl')
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def classify_image(img):
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return dict(zip(categories, map(float, probs)))
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image = gr.inputs.Image(shape=(192,
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label = gr.outputs.Label()
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examples = []
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# AUTOGENERATED! DO NOT EDIT! File to edit: ../00_core.ipynb.
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# %% auto 0
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__all__ = ['learn_inf', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image']
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# %% ../00_core.ipynb 3
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from fastai.vision.all import *
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# %% ../00_core.ipynb 17
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learn_inf = load_learner('export.pkl')
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# %% ../00_core.ipynb 21
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import gradio as gr
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categories = ['aeroplane', 'bicycle', 'bird', 'boat', 'bottle',
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'bus', 'car', 'cat', 'chair', 'cow', 'diningtable', 'dog',
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'horse', 'motorbike', 'person', 'pottedplant', 'sheep',
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'sofa', 'train', 'tvmonitor']
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def classify_image(img):
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red, idx, probs = learn_inf.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 = ['sheep.PNG', 'chair_diningtable.PNG', 'car_person.PNG']
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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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