from openai import OpenAI
import streamlit as st
from langchain_openai import ChatOpenAI
from tools import sentiment_analysis_util
import numpy as np
from dotenv import load_dotenv
import os
st.title("💬 Chatbot")
st.caption("")


openai_api_key = os.environ["OPENAI_API_KEY"]
# Initialize session state for storing messages if it doesn't already exist
if "messages" not in st.session_state:
    st.session_state["messages"] = [{"role": "assistant", "content": "How can I help you?"}]

# Display all previous messages
for msg in st.session_state.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('Thinking...'):
        client = OpenAI(api_key=openai_api_key)
        response = client.chat.completions.create(model="gpt-3.5-turbo", 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)