changed the code

app.py

@@ -3,14 +3,23 @@ from fastai.vision.all import *
 
 learner = load_learner('model.pkl')
 
+categories = ('Kentish plover', 'White-faced plover')
+
 def classify_images(img):
     pred, index, probs = learner.predict(img)
-    return {learner.dls.vocab[i]: float(probs[i]) for i in range(len(learner.dls.vocab))}
+    return dict(zip(categories, map(float, probs)))
+    # return {learner.dls.vocab[i]: float(probs[i]) for i in range(len(learner.dls.vocab))}
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['kentish.png', 'white-faced.png']
 
-intface = gr.Interface(fn=classify_images, inputs=gr.inputs.Image(type='pil'),
-                       outputs=gr.outputs.Label(num_top_classes=2),
-                        title="Kentish plover vs White-faced plover Classifier",
-                        description="Upload an image of either Kentish plover and White-faced plover."
-                         )
+intf = gr.Interface(fn=classify_images, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)
+# intface = gr.Interface(fn=classify_images, inputs=gr.inputs.Image(type='pil'),
+#                        outputs=gr.outputs.Label(num_top_classes=2),
+#                         title="Kentish plover vs White-faced plover Classifier",
+#                         description="Upload an image of either Kentish plover and White-faced plover."
+#                          )
 
-intface.launch(share=True)
+# intface.launch(share=True)