Update app.py

app.py

@@ -1,14 +1,13 @@
 import streamlit as st
-from transformers import AutoTokenizer, AutoModelForTokenClassification
-from transformers import pipeline
+import transformers
 
 # use @st.cache decorator to cache model — because it is too large, we do not want to reload it every time
 # use allow_output_mutation = True to tell streamlit that model should be treated as immutable object — singleton
 @st.cache(allow_output_mutation = True)
 
 # load model and tokenizer
-tokenizer = AutoTokenizer.from_pretrained("yeshpanovrustem/xlm-roberta-large-ner-kazakh")
-model = AutoModelForTokenClassification.from_pretrained("yeshpanovrustem/xlm-roberta-large-ner-kazakh")
+tokenizer = transformers.AutoTokenizer.from_pretrained("yeshpanovrustem/xlm-roberta-large-ner-kazakh")
+model = transformers.AutoModelForTokenClassification.from_pretrained("yeshpanovrustem/xlm-roberta-large-ner-kazakh")
 
 # # define function for ner