import streamlit as st
from openai import OpenAI
import time

st.set_page_config(page_title="Carfind.co.za Ai Assistant")

st.title("Carfind.co.za Ai Assistant")
st.caption("Chat with Carfind.co.za and Find your Next Car Fast")

# Sidebar for API Key input
with st.sidebar:
    OPENAI_API_KEY = st.text_input("Enter your C2 Group of Technologies Access Key", type="password")

if OPENAI_API_KEY:
    client = OpenAI(api_key=OPENAI_API_KEY)
else:
    st.error("Please enter your C2 Group of Technologies Access Key to continue.")
    st.stop()

ASSISTANT_ID = "asst_5gQR21fOsmHil11FGBzEArA7"

# Initialize session state for chat history
if "messages" not in st.session_state:
    st.session_state["messages"] = []

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

# Process user input
if prompt := st.chat_input():
    st.session_state.messages.append({"role": "user", "content": prompt})
    st.chat_message("user").write(prompt)

    try:
        # Create a new thread for conversation
        thread = client.beta.threads.create()
        thread_id = thread.id

        # Send user message to OpenAI API
        client.beta.threads.messages.create(
            thread_id=thread_id,
            role="user",
            content=prompt
        )

        # Run the assistant to generate a response
        run = client.beta.threads.runs.create(
            thread_id=thread_id,
            assistant_id=ASSISTANT_ID
        )

        # Wait for response
        while True:
            run_status = client.beta.threads.runs.retrieve(thread_id=thread_id, run_id=run.id)
            if run_status.status == "completed":
                break
            time.sleep(1)

        # Retrieve assistant response
        messages = client.beta.threads.messages.list(thread_id=thread_id)
        assistant_message = messages.data[0].content[0].text.value

        # Display assistant's response
        st.chat_message("assistant").write(assistant_message)

        # Store in session state
        st.session_state.messages.append({"role": "assistant", "content": assistant_message})
    
    except Exception as e:
        st.error(f"Error: {str(e)}")