Update README.md

README.md

@@ -44,7 +44,8 @@ options = ["LOC", "PER", "ORG", "MISC"]
 instruction = "please extract entities and their types from the input sentence, " \
               "all entity types are in options"
 
-text = "any asian cuisine around"
+text = "Once I visited Sovok in Nizny Novgorod. I had asian wok there. It was the best WOK i ever had"\
+        "It was cheap but lemonades cost 5 dollars."
 
 generation_kwargs = {
     "num_beams": 2,
@@ -58,5 +59,10 @@ pred_spans = model.predict(
     options=options
 )
 
->>> [(4, 9, 'Cuisine'), (18, 24, 'Location')]
+>>> ('sovok is a Restaurant_Name, Nizny Novgorod is a Location, asian wok is a Dish, cheap is a Price, lemonades is a Dish, 5 dollars is a Price.',
+ [(24, 38, 'Location'),
+  (46, 55, 'Dish'),
+  (100, 105, 'Price'),
+  (110, 119, 'Dish'),
+  (125, 134, 'Price')])
 ```