initial commit

app.py

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+from fastai.vision.all import *
+import gradio as gr
+
+def ice_cream(x): return x[0].isupper()
+
+learn = load_learner('export.pkl')
+
+categories = ('choco chip', 'classical chocolate','mint chocolate')
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories,map(float,probs)))
+
+image = gr.Image(width=192,height=192)
+label = gr.Label()
+examples = ['images/img1.png','images/img2.png','images/image.png']
+
+intf = gr.Interface(fn=classify_image,inputs=image,outputs=label,examples=examples)
+intf.launch(inline=False)

export.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:1918a6f0dea2b86bed4ec397cb5915da7dff3f2696606035c69a603cdd5a91f5
+size 46978302