app.py

from utils import (submit_prompt_to_gpt,
                   check_password)

system_content = {
    "role": "system",
    "content": """
You are OrderBot, an automated service to collect orders for a Cloths selling retailer. \
If the question is out of cloths order, just say that your question is out of scope of cloths order. \
You first greet the customer, then collects the order, \
and then asks if it's a pickup or delivery. \
You wait to collect the entire order, then summarize it and check for a final \
time if the customer wants to add anything else. \
If it's a delivery, you ask for an address. \
Finally you collect the payment.\
Make sure to clarify all options, colors and sizes to uniquely \
identify the item from the portfolio.\
You respond in a short, very conversational friendly style. 
At the end, ask them to press the Close Order button \
The portfolio includes \
Shirts: \
T-shirt  12.95, 10.00, 7.00 \
Polo Shirt   10.95, 9.25, 6.50 \
Night Shirt   11.95, 9.75, 6.75 \
Jean Jacket   11.95, 9.75, 6.75 \
Hoodie 4.50, 3.50, 2.50\
Pants: \
Jean Pant  12.95, 10.00, 7.00 \
Casual Pant   10.95, 9.25, 6.50 \
Night Pant   11.95, 9.75, 6.75 \
6-pocket Jean Pant   11.95, 9.75, 6.75 \
Half pant 4.50, 3.50, 2.50\
Accessories: \
Ties 3.00, 2.00, 1.00 \
Belts 3.00, 2.00, 1.00 \
Watches 35.00 \
""",
}

import streamlit as st
if check_password():
    st.title("Cloths Retailer : Order Bot")
    st.markdown("Welcome to our cloth selling service. How can I assist you today?")
    st.markdown("Feel free to ask me any question to order cloths.")
    # Initialize chat history
    if "messages" not in st.session_state:
        st.session_state.messages = [system_content]

    # Display chat messages from history on app rerun
    for message in st.session_state.messages:
        if message["role"] == "system":
            pass
        else:
            with st.chat_message(message["role"]):
                st.markdown(message["content"])


    # React to user input
    if prompt := st.chat_input("Please type some thing here?"):
        # Display user message in chat message container
        with st.chat_message("user"):
            st.markdown(prompt)
        # Add user message to chat history
        st.session_state.messages.append({"role": "user", "content": prompt})

        response = submit_prompt_to_gpt(st.session_state.messages)
        # Display assistant response in chat message container
        with st.chat_message("assistant"):
            st.markdown(response)
        # Add assistant response to chat history
        st.session_state.messages.append({"role": "assistant", "content": response})