initial commit
Browse files- app.py +16 -0
- model.pkl +3 -0
- requirements.txt +2 -0
app.py
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import gradio as gr
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from fastai.vision.all import *
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import skimage
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learn = load_learner('model.pkl')
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labels = learn.dls.vocab
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title = "Lesson 4"
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interpretation='default'
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enable_queue=True
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gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=5),title=title,examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch()
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iface = gr.Interface(fn=learn)
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iface.launch()
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model.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:9006ac2b097de5d960033418785a61da2cffecd81898628ffb02b941fd5fdbfa
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size 567647705
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requirements.txt
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fastai
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scikit-image
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