app.py

import streamlit as st

st.set_page_config(layout="wide")

with st.sidebar:
    st.title('Document Summarization and QA System')
    st.markdown('''
    ## About this application
    Upload a pdf to ask questions about it. This retrieval-augmented generation (RAG) workflow uses:
    - [Streamlit](https://streamlit.io/)
    - [LlamaIndex](https://docs.llamaindex.ai/en/stable/)
    - [OpenAI](https://platform.openai.com/docs/models)
    ''')

    st.write('Made by ***Nate Mahynski***')
    st.write('nathan.mahynski@nist.gov')

    # Select Provider
    provider = st.selectbox(
        label="Select LLM Provider",
        options=['openai', 'huggingface'],
        index=0
    )

    # Select LLM
    if provider == 'openai':
        llm_list = ['gpt-3.5-turbo', 'gpt-4', 'gpt-4-turbo', 'gpt-4o']
    else:
        llm_list = []

    llm = st.selectbox(
        label="Select LLM Model",
        options=llm_list,
        index=0
    )

    # Enter Token
    token = st.text_input(
        "Enter your token",
        value=None
    )