tmabraham commited on
Commit
9a81fe4
1 Parent(s): b5e246a

let's deploy to huggingface spaces

Browse files
Files changed (4) hide show
  1. app.py +20 -0
  2. export.pkl +3 -0
  3. requirements.txt +2 -0
  4. siamese.jpg +0 -0
app.py ADDED
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+ import gradio as gr
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+ import fastai
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+ import skimage
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+
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+ learn = load_learner('export.pkl')
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+
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+ labels = learn.dls.vocab
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+ def predict(img):
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+ img = PILImage.create(img)
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+ pred,pred_idx,probs = learn.predict(img)
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+ return {labels[i]: float(probs[i]) for i in range(len(labels))}
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+
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+ title = "Pet Breed Classifier"
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+ description = "A pet breed classifier trained on the Oxford Pets dataset with fastai. Created as a demo for Gradio and HuggingFace Spaces."
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+ article="<p style='text-align: center'><a href='https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial' target='_blank'>Blog post</a></p>"
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+ examples = ['siamese.jpg']
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+ interpretation='default'
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+ enable_queue=True
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+
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+ gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=len(labels)),title=title,description=description,article=article,examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch()
export.pkl ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:0beb794ef04b8a26222fbc41514b4a59182538d7dc5e97b90cb0e1217bf3b131
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+ size 103045845
requirements.txt ADDED
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+ fastai
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+ scikit-image
siamese.jpg ADDED