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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])