Update app.py

app.py

@@ -380,7 +380,7 @@ def schleifer_model():
 def get_sentence_embedding_model():
     return SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2')
     
-@st.cache
+@st.cache(hash_funcs={tokenizers.Tokenizer: my_hash_func})
 def get_ner_pipeline():
     tokenizer = AutoTokenizer.from_pretrained("xlm-roberta-large-finetuned-conll03-english")
     model = AutoModelForTokenClassification.from_pretrained("xlm-roberta-large-finetuned-conll03-english")