app.py

from omegaconf import OmegaConf
from query import VectaraQuery
import streamlit as st
import os
from PIL import Image

topics =  { 
    'Standardized testing in education': '266',
    'Ethical implications of genetic editing': '267',
    'Social media and mental health': '268'
}

def launch_bot():
    def generate_response(question, cfg):
        response = vq.submit_query(question, cfg.bot_role, cfg.topic, cfg.style)
        return response

    def reset():
        st.session_state.messages = [{"role": "assistant", "content": "Please make your opening statement.", "avatar": '🦖'}]
        st.session_state.vq = VectaraQuery(cfg.api_key, cfg.customer_id, cfg.corpus_id, cfg.prompt_name)

    if 'cfg' not in st.session_state:
        cfg = OmegaConf.create({
            'customer_id': str(os.environ['VECTARA_CUSTOMER_ID']),
            'corpus_id': list(topics.values())[0],
            'api_key': str(os.environ['VECTARA_API_KEY']),
            'prompt_name': 'vectara-experimental-summary-ext-2023-12-11-large',
        })
        st.session_state.cfg = cfg
        st.session_state.vq = VectaraQuery(cfg.api_key, cfg.customer_id, cfg.corpus_id, cfg.prompt_name)

        st.session_state.current_human_role = None
        st.session_state.current_topic = None
        st.session_state.style = None

    cfg = st.session_state.cfg
    vq = st.session_state.vq
    st.set_page_config(page_title="Debate Bot", layout="wide")


    # left side content
    with st.sidebar:
        image = Image.open('Vectara-logo.png')
        st.image(image, width=250)
        st.markdown(f"## Welcome to Debate Bot.\n\n\n")

        role_options = ['in opposition to', 'in support of']
        cfg.human_role = st.selectbox('You (the human) are:', role_options)
        cfg.bot_role = role_options[1] if cfg.human_role == role_options[0] else role_options[0]
        if st.session_state.current_human_role != cfg.human_role:
            st.session_state.current_human_role = cfg.human_role
            reset()

        topic_options = list(topics.keys())
        cfg.topic = st.selectbox('The topic:', topic_options)
        vq.corpus_id = topics[cfg.topic]
        if st.session_state.current_topic != cfg.topic:
            st.session_state.current_topic = cfg.topic
            reset()

        st.markdown("\n")
        debate_styles = ['Lincoln-Douglas', 'Spontaneous Argumentation', 'Parliamentary debates']
        cfg.style = st.selectbox('Debate Style:', debate_styles)
        if st.session_state.style != cfg.style:
            st.session_state.style = cfg.style
            reset()

        st.markdown("\n\n")
        if st.button('Start Over'):
            reset()

        st.markdown("---")
        st.markdown(
            "## How this works?\n"
            "This app was built with [Vectara](https://vectara.com).\n\n"
            "It demonstrates the use of the Chat functionality along with custom prompts and GPT4-Turbo (as part of our [Scale plan](https://vectara.com/pricing/))"
        )
        st.markdown("---")


    if "messages" not in st.session_state.keys():
        reset()

    # Display chat messages
    for message in st.session_state.messages:
        with st.chat_message(message["role"], avatar=message["avatar"]):
            st.write(message["content"])

    # User-provided prompt
    if prompt := st.chat_input():
        st.session_state.messages.append({"role": "user", "content": prompt, "avatar": '🧑‍💻'})
        with st.chat_message("user", avatar='🧑‍💻'):
            st.write(prompt)

    # Generate a new response if last message is not from assistant
    if st.session_state.messages[-1]["role"] != "assistant":
        with st.chat_message("assistant", avatar='🤖'):
            stream = generate_response(prompt, cfg) 
            with st.spinner('Thinking...'):
                response = st.write_stream(stream) 
            message = {"role": "assistant", "content": response, "avatar": '🤖'}
            st.session_state.messages.append(message)
    
if __name__ == "__main__":
    launch_bot()