Upload app.py

app.py

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+from fastai.vision.all import *
+import gradio as gr
+
+
+def get_x(r): return path/r['fname']
+def get_y(r): return r['car_body_style']
+
+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 = 'Car Body Style Classifier'
+description = 'A car body style classifier trained on the [Cars Dataset](http://ai.stanford.edu/~jkrause/cars/car_dataset.html).'
+
+examples = ['convertible.jpg', 'coupe.jpg', 'van.jpg']
+
+gr.Interface(fn=predict,
+        inputs=gr.inputs.Image(shape=(512, 512)),
+        outputs=gr.outputs.Label(num_top_classes=3),
+        title=title, description=description,
+        examples=examples,
+        enable_queue=True).launch(share=True)