Update app.py

app.py

@@ -10,8 +10,8 @@ def predict(img):
     category, idx, probs = neural_net.predict(img)
     return dict(zip(labels, map(float, probs)))
     
-title = 'Natural Landscape Photo Classifier'
-description = 'Click an example photo or upload an image of your own!'
+title = 'Natural Landscape Classifier'
+description = 'Click an example photo or upload your own image!'
 examples = ['farm.jpg', 'lake.jpg', 'solar.jpg', 'neighborhood.jpg']
 inputs=gr.Image(type='pil',
                label='Photo')