Update app.py

app.py

@@ -16,14 +16,6 @@ ner_models = {
     'bioNER': 'd4data/biomedical-ner-all',
     'SpaCy English NER': 'en_core_web_trf',
 }
-import spacy
-from spacy.tokens import Doc
-from spacy_transformers import TransformersLanguage, TransformersWordPiecer, TransformersTok2Vec
-
-# Initialize the spaCy language class with transformer components
-nlp = TransformersLanguage(trf_name="en_core_web_trf", meta={"lang": "en"})
-nlp.add_pipe(TransformersWordPiecer.from_pretrained(nlp.vocab, "en_core_web_trf"))
-nlp.add_pipe(TransformersTok2Vec.from_pretrained(nlp.vocab, "en_core_web_trf"))
 
 spacy_ner_model = spacy.load(ner_models['SpaCy English NER'])
 ner_model_bio = pipeline('token-classification', model='d4data/biomedical-ner-all')