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import streamlit as st
st.title("Info")
with st.expander("ℹ️ - About this app", expanded=True):
st.write(
"""
- This app performs named entity recognition for medical entities.
- myDemo model was developed from dslim/distilbert-NER (a general NER model with 66M parameters) in HuggingFace, and fine-tuned on singh-aditya/MACCROBAT_biomedical_ner (a dataset annotated with medical entity labels in 41 categories).
- The model uses the default pretrained tokenizer in dslim/distilbert-NER.
"""
)
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