update

app.py

@@ -4,16 +4,6 @@ from spacy import displacy
 
 model = TransformersNER("tner/roberta-large-ontonotes5")
 
-# DUMMY = {
-#    'prediction': [['B-person', 'I-person', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'B-location']],
-#    'probability': [[0.9967652559280396, 0.9994561076164246, 0.9986955523490906, 0.9947081804275513, 0.6129112243652344, 0.9984312653541565, 0.9868122935295105, 0.9983410835266113, 0.9995284080505371, 0.9838910698890686]],
-#    'input': [['Jacob', 'Collier', 'is', 'a', 'Grammy', 'awarded', 'English', 'artist', 'from', 'London']],
-#    'entity_prediction': [[
-#        {'type': 'person', 'entity': ['Jacob', 'Collier'], 'position': [0, 1], 'probability': [0.9967652559280396, 0.9994561076164246]},
-#        {'type': 'location', 'entity': ['London'], 'position': [9], 'probability': [0.9838910698890686]}
-#     ]]
-# }
-
 examples = [
     "Jacob Collier is a Grammy awarded artist from England.",
     "When Sebastian Thrun PERSON started working on self-driving cars at Google ORG in 2007 DATE , few people outside of the company took him seriously.",
@@ -56,8 +46,8 @@ demo = gr.Interface(
         lines=5,
         placeholder="Input Sentence",
         default=examples[0],
-        examples=examples
     ),
     outputs="html",
+    examples=examples
 )
 demo.launch()