nearly done

app.py

@@ -13,9 +13,8 @@ def classify_image(img):
     return( dict(zip(categories, map(float,probs))))
 
 interface_options = {
-    "title": "Which Watersport? Compare your guess to the machine inferencing.B",
-    "description": "Click an image and click submit. Drag an image into the classifier.  Take a close look and guess it yourself, before hitting **\<Submit\>**. \n \
-You need to **\<Clear\>** before dragging next image.  Other images can be dragged directly from google search.",
+    "title": "Which Watersport? Compare your guess to the machine inference.",
+    "description": "Click an image. Click  Submit. Click Clear. Other images can be dragged directly from a google search. \nNote, the machine classifier relies purely on vision, of the image pixels - no other info used.",
     "examples": [f'{EXAMPLES_PATH}/{f.name}' for f in EXAMPLES_PATH.iterdir()],
     "examples_per_page": "100"
 }