from openai import OpenAI
import streamlit as st
import os

# Fetch the API key from an environment variable
openai_api_key = os.getenv("OPENAI_API_KEY")

# Select model using a dropdown
model_choice = "gpt-3.5-turbo"
# Read system message from a text file
try:
    with open("system_message.txt", "r") as file:
        system_message = file.read().strip()
except FileNotFoundError:
    st.error("The system message file was not found. Please make sure 'system_message.txt' exists.")
    st.stop()

# Initialize session state for storing messages if it doesn't already exist
if "messages" not in st.session_state:
    st.session_state["messages"] = [{"role": "system", "content": system_message},
{"role": "assistant", "content": "Je suis Logis-Experts Bot à votre service, posez moi votre question !"}]

# Display all previous messages only when needed
for msg in st.session_state.messages:
    if msg["role"] != "system":  # Skip system messages
        st.chat_message(msg["role"]).write(msg["content"])

# Input for new prompts
prompt = st.chat_input("Enter your question:")
if prompt:
    if not openai_api_key:
        st.error("No OpenAI API key found. Please set the OPENAI_API_KEY environment variable.")
        st.stop()

    # Append the new user message to session state
    st.session_state.messages.append({"role": "user", "content": prompt})
    st.chat_message("user").write(prompt)

    # Use a spinner to indicate that the model is generating a response
    with st.spinner('Logis-Expert Bot is Thinking...'):
        client = OpenAI(api_key=openai_api_key)
        response = client.chat.completions.create(model=model_choice, messages=st.session_state.messages)
        msg = response.choices[0].message.content

    # Append and display the assistant's response
    st.session_state.messages.append({"role": "assistant", "content": msg})
    st.chat_message("assistant").write(msg)