Eric Botti
updated to use gpt-3.5-turbo, improved streamlit interface
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# 3rd party - located in requirements.txt
import streamlit as st
# local
import summarizer
st.set_page_config(page_title='Transcript Notetaker', page_icon=':memo:', layout='wide')
# App Content
'''
# Transcript Notetaker
Upload a transcript of a Google Meet call and this app will use the OpenAI API to generate detailed notes for the meeting.
_This program was designed to work with the transcript documents automatically generated by Google Meet meetings, using
transcripts with a different format may result in unexpected behavior._
'''
api_key = st.text_input("Enter your OpenAI API key", type='password')
uploaded_file = st.file_uploader('Upload your Transcript', type='.txt')
if api_key and uploaded_file:
create_notes_button_disabled = False
create_notes_button_help = ''
else:
create_notes_button_disabled = True
create_notes_button_help = "Enter your API key and upload a file to continue"
button_create_notes = st.button("Create Notes", disabled=create_notes_button_disabled, help=create_notes_button_help)
meeting_notes = None
if button_create_notes:
header, transcript = summarizer.load_transcript(uploaded_file)
chunks = summarizer.chunk_transcript(transcript)
summaries = summarizer.summarize_chunks(chunks, api_key)
meeting_notes = summarizer.format_notes(summaries, header)
if meeting_notes:
st.divider()
st.download_button("Download Notes", meeting_notes, "notes.md")
st.markdown(meeting_notes)