Update app.py

app.py

@@ -1,6 +1,6 @@
 import streamlit as st
 from transformers import pipeline
-from ipymarkup import show_span_box_markup
+from ipymarkup import format_span_box_markup
 
 # Load the pre-trained NER model
 model = pipeline("ner", model="/home/user/app/mendobert/", tokenizer="indolem/indobert-base-uncased")
@@ -80,7 +80,7 @@ if text:
             base.append(f"""Entity: {result["entity"]}, Start:{result["start"]}, End:{result["end"]}, word:{text[result["start"]:result["end"]]}""")
 
     st.json(mendo)
-    st.markdown(show_span_box_markup(text, spanMendo))
+    st.markdown(format_span_box_markup(text, spanMendo))
     st.json(base)
-    st.markdown(show_span_box_markup(text, spanBase))
+    st.markdown(format_span_box_markup(text, spanBase))