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app.py

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+from fastai.vision.all import *
+import gradio as gr
+
+
+learn = load_learner('model.pkl')
+
+categories = 'elliptical', 'irregular', 'spiral'
+def classify_img(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['elliptical.jpg', 'irregular.jpg', 'spiral.jpg']
+iface = gr.Interface(fn = classify_img, inputs = image, outputs = label, examples = examples)
+iface.launch()

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:75f30f2d925d6df8b5527468273f3fa2ee9af4e132247905704ea9445aff0ceb
+size 46961733