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  1. Food.jpg +0 -0
  2. app.py +29 -0
  3. export2.pkl +3 -0
  4. requirement.txt +2 -0
Food.jpg ADDED
app.py ADDED
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+ # -*- coding: utf-8 -*-
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+ """app
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+
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+ Automatically generated by Colaboratory.
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+
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+ Original file is located at
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+ https://colab.research.google.com/drive/1l1CvBkbH9l4Acj95i78ccFHTGV9JVEGF
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+ """
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+
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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('export2.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 = "Foof_type_classifier"
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+ description = "A food classifier trained on the food images 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 = ['Food.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=2),title=title,description=description,article=article,examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch()
export2.pkl ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:588f0b7fe5dc6ce86d42812f0457340f173ff169713ca7581e2b2bfdd7e421a8
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+ size 46965967
requirement.txt ADDED
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+ fastai
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+ scikit-image