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import streamlit as st
from pyvis.network import Network
from functions import *
import streamlit.components.v1 as components
st.set_page_config(page_title="Earnings Knowledge Graph", page_icon="📈")
st.sidebar.header("Knowledge Graph")
st.markdown("## Earnings Knowledge Graph")
filename = "earnings_network.html"
if "earnings_passages" in st.session_state:
with st.spinner(text='Loading Babelscape/rebel-large which can take a few minutes to generate the graph..'):
st.session_state.kb_text = from_text_to_kb(st.session_state['earnings_passages'], kg_model, kg_tokenizer, "", verbose=True)
save_network_html(st.session_state.kb_text, filename=filename)
st.session_state.kb_chart = filename
with st.container():
st.subheader("Generated Knowledge Graph")
st.markdown("*You can interact with the graph and zoom.*")
html_source_code = open(st.session_state.kb_chart, 'r', encoding='utf-8').read()
components.html(html_source_code, width=700, height=700)
st.markdown(st.session_state.kb_text)
else:
st.write('No earnings text detected, please regenerate from Home page..')
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