Changes to the app.py

app.py

@@ -4,19 +4,16 @@ import gradio as gr
 
 learn = from_pretrained_fastai("robinsk8a/exotic_cars_classifier")
 
-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))}
+categories = ('Dog', 'Cat''ferrari','lamborghini','mclaren','aston martin','koenigsegg','porsche','pagani')
 
-gr.Interface(
-    fn=predict, 
-    inputs=gr.inputs.Image(
-        shape=(512, 512)), 
-        outputs=gr.outputs.Label(num_top_classes=3),
-        title="Sport car classifier",
-        description="An app design to classifie the most relateve sportcars",
-        examples=['bmw.jpg', 'lamborghini.jpg', 'koenigsegg.jpg'],
-        interpretation='default',
-        enable_queue=True).launch(share=True)
+def classify_image(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=['bmw.jpg', 'lamborghini.jpg', 'koenigsegg.jpg'],
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch()