prefer food items, but if there are none, then lets skip it

multi_food_item_detector.py

@@ -51,6 +51,8 @@ def extract_items(text):
     
     # Get the food items
     food_items = extract_food_phrases(text)
+    if len(food_items) > 0:
+        return food_items
     
     # Find the items that were not matched as food items
     non_food_items = [item for item in items if item not in food_items]