Initial commit

app.py

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+# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image']
+
+# %% app.ipynb 2
+from fastai.vision.all import *
+import gradio as gr
+
+# %% app.ipynb 5
+learn = load_learner('model.pkl')
+
+# %% app.ipynb 7
+categories = ('Above Average', 'Below Average')
+
+def classify_image(img):
+  pred,idx,probs = learn.predict(img)
+  return dict(zip(categories, map(float,probs)))
+
+# %% app.ipynb 9
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['bird.jpg', 'above_average.jpg', 'below_average.jpg']
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False,share=True)

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2849a34b49dfa78235dee107404d7c52825bff6df87061b43a6752c62a87aabe
+size 46954969

requirements.txt

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+fastai