import streamlit as st
from pyserini.search.lucene import LuceneSearcher

st.set_page_config(
    page_title="Reddit CMV",
    page_icon="📄",
    layout="centered"
)

indexes = {"shoe-sizes": LuceneSearcher("index/cmv'-shoe-sizes-should-be-the-same-for-both-men-and-women"),
           "social-media": LuceneSearcher("index/cmv'-social-media-is-the-most-destructive-addiction-in-our-society"),
           "depression": LuceneSearcher("index/cmv'-the-others-have-it-worse-argument-is-terrible-and-should-never-be-used-in-an-actual-conversation-with-a-depressed-person"),
           "metric-system": LuceneSearcher("index/cmv'-there-shouldnt-be-anything-other-than-the-metric-system."),
           "best-time-period": LuceneSearcher("index/cmv'-today-is-the-best-time-period-in-human-history-to-be-alive-for-the-vast-majority-of-people."),
          }

@st.cache(suppress_st_warning=True, allow_output_mutation=True, show_spinner=False)
def search_chat_noir(key, search_query):
    return search(api_key=key, query=search_query)

def result_html(result):
    return (
    f"<div>{(result.contents)}</div><br>"
    )


discussion = st.selectbox(
    'How would you like to be contacted?',
    indexes.keys())
searcher = indexes[discussion]
cola, colb, colc = st.columns([5,4,5])
with colb:
    st.write(discussion)

col1, col2 = st.columns([9, 1])
with col1:
    search_query = st.text_input(label="",
                placeholder="Search"
            )

with col2:
    st.write('#')
    button_clicked = st.button("🔎")


if search_query or button_clicked:
    search_results = searcher.search(query, k=10)
    for result in search_results:
        st.write(result_html(result), unsafe_allow_html=True)
    
with st.expander("Instructions", expanded=False):
    st.markdown(
        """
        INSTRUCTIONS HERE
	    """
    )