import streamlit as st from functions import * st.set_page_config(page_title="Earnings Summarization", page_icon="📖") st.sidebar.header("Earnings Summarization") st.markdown("## Earnings Summarization with FaceBook-Bart") max_len= st.slider("Maximum length of the summarized text",min_value=70,max_value=200,step=10,value=100) min_len= st.slider("Minimum length of the summarized text",min_value=20,max_value=200,step=10) st.markdown("####") st.subheader("Summarized Earnings Call with matched Entities") if "earnings_passages" not in st.session_state: st.session_state["earnings_passages"] = '' if st.session_state['earnings_passages']: with st.spinner("Summarizing and matching entities, this takes a few seconds..."): try: text_to_summarize = chunk_and_preprocess_text(st.session_state['earnings_passages']) summarized_text = summarize_text(text_to_summarize,max_len=max_len,min_len=min_len) except IndexError: try: text_to_summarize = chunk_and_preprocess_text(st.session_state['earnings_passages'],450) summarized_text = summarize_text(text_to_summarize,max_len=max_len,min_len=min_len) except IndexError: text_to_summarize = chunk_and_preprocess_text(st.session_state['earnings_passages'],400) summarized_text = summarize_text(text_to_summarize,max_len=max_len,min_len=min_len) entity_match_html = highlight_entities(text_to_summarize,summarized_text) st.markdown("####") with st.expander(label='Summarized Earnings Call',expanded=True): st.write(entity_match_html, unsafe_allow_html=True) st.markdown("####") summary_downloader(summarized_text) else: st.write("No text to summarize detected, please ensure you have entered the YouTube URL on the Sentiment Analysis page")