import streamlit as st 

from inference import detect_concept 

HTML_WRAPPER = """<div style="overflow-x: auto; border: 1px solid #e6e9ef; border-radius: 0.25rem; padding: 1rem">{}</div>"""

def main():

    """Concept Streamlit App"""

    st.title("Concept Checker")

    activities = ["Concept","Assertion","Relation"]

    choice = st.sidebar.selectbox("Select Activity", activities)

    if choice == 'Concept':

        output = []

        st.subheader("Medical Concepts")

        raw_text = st.text_area("Enter Text Here","Type Here")

        if st.button("Summarize"):

            ner_result = detect_concept(raw_text)

            # TODO: format the result for NER

            result = "..."

            st.write(result)

    if choice == 'Assertion':

    if choice == 'Relation':

if __name__ == '__main__':

    main()