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from annotated_text import annotation
from json import JSONDecodeError
import logging
from markdown import markdown
import requests

import streamlit as st

from utils.haystack import query, start_haystack
from utils.ui import reset_results, set_initial_state, sidebar

set_initial_state()

sidebar()

st.write("# Get the summaries of latest top Hacker News posts 🧑")

if st.session_state.get("HF_TGI_TOKEN"):
    pipeline = start_haystack(st.session_state.get("HF_TGI_TOKEN"))
    st.session_state["api_key_configured"] = True
    search_bar, button = st.columns(2)
    # Search bar
    with search_bar: 
        top_k = st.slider('How many of the top posts should I summarize?', 0, 5, 0)

    with button: 
        st.write("")
        st.write("")
        run_pressed = st.button("Get summaries")
else:
    st.write("Please provide your Hugging Face Token to start using the application")
    st.write("If you are using a smaller screen, open the sidebar from the top left to provide your token πŸ™Œ")
    
if st.session_state.get("api_key_configured"):
    run_query = (
        run_pressed or top_k != st.session_state.top_k
    )

    # Get results for query
    if run_query and top_k:
        reset_results()
        st.session_state.username = top_k
        with st.spinner("πŸ”Ž"):
            try:
                st.session_state.result = query(top_k, pipeline)
            except JSONDecodeError as je:
                st.error(
                    "πŸ‘“    An error occurred reading the results. Is the document store working?"
                )    
            except Exception as e:
                logging.exception(e)
                st.error("🐞    An error occurred during the request.")            
                
    if st.session_state.result:
        summaries = st.session_state.result
        st.write(summaries[0])