My initial check-in

.ipynb_checkpoints/README-checkpoint.md

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+---
+title: Food Classifier
+emoji: 🐢
+colorFrom: blue
+colorTo: green
+sdk: gradio
+sdk_version: 3.1.4
+app_file: app.py
+pinned: false
+license: apache-2.0
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

.ipynb_checkpoints/app-checkpoint.py

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+from fastai.vision.all import *
+import gradio as gr
+
+learn = load_learner('export.pkl')
+labels = learn.dls.vocab
+def predict(img):
+    img = PILImage.create(img)
+    pred,pred_idx,probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+title = "Food 101 Classifier"
+description = "A Food 101 Classifier created using Custom Dataset from Kaggle. Created as a demo for Gradio and HuggingFace Spaces."
+article="<p style='text-align: center'><a href='https://satish1v.medium.com/' target='_blank'>Blog post coming soon</a></p>"
+enable_queue=True
+examples = ['1005649.jpg']
+
+
+demo=gr.Interface(fn=predict, 
+                    inputs=gr.inputs.Image(shape=(460, 460)),
+                    outputs= gr.outputs.Label(num_top_classes=len(labels)),
+                    title=title,
+                    description=description,
+                    article=article,
+                    examples=examples
+                   )
+
+demo.lauch()

.ipynb_checkpoints/requirements-checkpoint.txt

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+fastai
+scikit-image

app.py

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+from fastai.vision.all import *
+import gradio as gr
+
+learn = load_learner('export.pkl')
+labels = learn.dls.vocab
+def predict(img):
+    img = PILImage.create(img)
+    pred,pred_idx,probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+title = "Food 101 Classifier"
+description = "A Food 101 Classifier created using Custom Dataset from Kaggle. Created as a demo for Gradio and HuggingFace Spaces."
+article="<p style='text-align: center'><a href='https://satish1v.medium.com/' target='_blank'>Blog post coming soon</a></p>"
+enable_queue=True
+examples = ['1005649.jpg']
+
+
+demo=gr.Interface(fn=predict, 
+                    inputs=gr.inputs.Image(shape=(460, 460)),
+                    outputs= gr.outputs.Label(num_top_classes=len(labels)),
+                    title=title,
+                    description=description,
+                    article=article,
+                    examples=examples
+                   )
+
+demo.lauch()

export.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4938bce2ef61b8eab6b0c3c6ae46a05409ef8d421cf08800594f1c9ca80f66f2
+size 117087465

requirements.txt

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+fastai
+scikit-image