Update app.py

app.py

@@ -18,7 +18,7 @@ def predict_image(img):
   return {class_names[i]: float(prediction[i]) for i in range(5)}
 
 image = gr.inputs.Image(shape=(180,180))
-label = gr.outputs.Label(num_top_classes=5)
+label = gr.outputs.Label(num_top_classes=3)
 enable_queue=True
 description="This is a Flower Classification Model made using a CNN.Deployed to Hugging Faces using Gradio."
 examples = ['dandelion.jpg','sunflower.jpeg','tulip.jpg']