Update app.py

app.py

@@ -25,10 +25,9 @@ nlp = spacy.load(spacy_model)
 # Add the NER pipeline from grc_ner_trf if the selected model is grc_proiel_trf or grc_perseus_trf
 if spacy_model in ["grc_proiel_trf", "grc_perseus_trf"]:
     ner = spacy.load("grc_ner_trf")
-    for pipe_name in ner.pipe_names:
-        if pipe_name not in nlp.pipe_names:
-            nlp.add_pipe(pipe_name, source=ner)
-            
+    for pipe_name, pipe in ner.pipeline:
+        nlp.add_pipe(pipe, name=pipe_name, source=ner)
+
 doc = nlp(text)
 
 def get_html(html: str):