Add app.py

app.py

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+import gradio as gr
+from fastai.vision.all import *
+
+learn = load_learner('export.pkl')
+labels = learn.dls.vocab
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+title = "Planets Classifier"
+examples = ['mars.jpg', 'earth.jpg', 'sun.jpg',  'pluto.jpg']
+
+iface = gr.Interface(
+    fn=classify_image,
+    inputs=gr.inputs.Image(shape=(512, 512)),
+    outputs=gr.outputs.Label(num_top_classes=3),
+    title=title,
+    examples=examples,
+    )
+iface.launch(inline=False)

requirements.txt

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+fastai