model.py

import streamlit as st
from langchain_openai import ChatOpenAI
from langchain_core.prompts import ChatPromptTemplate
from langchain.schema import StrOutputParser

chat_llm = ChatOpenAI(
    openai_api_key=st.secrets["OPENAI_API_KEY"],
    model=st.secrets["OPENAI_MODEL"],
)


prompt = ChatPromptTemplate.from_messages(
    [
        (
            "system",
            "You are a instagram post writer and you writing captions for posts for company that make hiking and bicycle backpacks. "
            "Responde with 2 sentence max, use context as example. ",
        ),
        ( "system", "{example}" ),
        ( "human", "{question}" ),
    ]
)

chat_chain = prompt | chat_llm | StrOutputParser()