Update app.py

app.py

@@ -12,10 +12,16 @@ def predict(image):
     label, index, scores = learner.predict(image)
    
     return {l: scores[i].item() for i,l in enumerate(learner.dls.vocab)}
+title = "Snail, snake, slug Classifier"
+description = "A  classifier trained on about 300 images. Created as a demo for Gradio and HuggingFace Spaces."
+examples = ['slug_1.jpg']
+
 
 gr.Interface(
     predict,
     inputs=gr.inputs.Image(label="candidate", type="filepath"),
     outputs=gr.outputs.Label(num_top_classes=3),
-    title="Snail? Snake? Slug?",
-).launch(share=True)
+    title=title,
+    examples=examples,
+    description=description,
+).launch()