import streamlit as st
import streamlit.components.v1 as components
from streamlit_shortcuts import button, add_keyboard_shortcuts
import base64
st.title("đŸ“˜Named Entity Recognition")
st.header("Tags the below 41 medical entities")
'ACTIVITY'
'ADMINISTRATION'
'AGE'
'AREA'
'BIOLOGICAL_ATTRIBUTE'
'BIOLOGICAL_STRUCTURE'
'CLINICAL_EVENT'
'COLOR'
'COREFERENCE'
'DATE'
'DETAILED_DESCRIPTION'
'DIAGNOSTIC_PROCEDURE'
'DISEASE_DISORDER'
'DISTANCE'
'DOSAGE'
'DURATION'
'FAMILY_HISTORY'
'FREQUENCY'
'HEIGHT'
'HISTORY'
'LAB_VALUE'
'MASS'
'MEDICATION'
'NONBIOLOGICAL_LOCATION'
'OCCUPATION'
'OTHER_ENTITY'
'OUTCOME'
'PERSONAL_BACKGROUND'
'QUALITATIVE_CONCEPT'
'QUANTITATIVE_CONCEPT'
'SEVERITY'
'SEX'
'SHAPE'
'SIGN_SYMPTOM'
'SUBJECT'
'TEXTURE'
'THERAPEUTIC_PROCEDURE'
'TIME'
'VOLUME'
'WEIGHT'
# Generate the content
content_lines = [f"This is scrollable content line {i}" for i in range(100)]
content_html = "
".join(content_lines)
# Create HTML with auto-scroll functionality
html_content = f"""
{content_html}
"""
# Display the content in an iframe (this isolates the JavaScript execution)
st.components.v1.html(html_content, height=400, scrolling=True)
# Add a button that refreshes the page (useful if the auto-scroll doesn't work)
if st.button("Scroll to Bottom"):
pass # This will cause the page to refresh