Manikandan Sivanesan commited on
Commit
dda45cb
1 Parent(s): 09a7e5f

update .gitattributes so git lfs track .pkl files

Browse files
Files changed (3) hide show
  1. .gitattributes +1 -0
  2. app.py +20 -0
  3. requirements.txt +3 -0
.gitattributes CHANGED
@@ -25,3 +25,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zstandard filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zstandard filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ *.pkl filter=lfs diff=lfs merge=lfs -text
app.py ADDED
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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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+
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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=3),title=title,description=description,article=article,examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch()
requirements.txt ADDED
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+ fastai
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+ scikit-image
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+ gradio