Update app.py

app.py

@@ -16,7 +16,15 @@ ner_models = {
     'bioNER': 'd4data/biomedical-ner-all',
     'SpaCy English NER': 'en_core_web_trf',
 }
-spacy.cli.download("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')
 from transformers import AutoTokenizer