app.py

import streamlit as st
from langchain.schema import HumanMessage, SystemMessage, AIMessage
from langchain.chat_models import ChatOpenAI
from langchain_groq import ChatGroq
import os
from constant import Groq_Api_Key
## Streamlit UI
st.set_page_config(page_title="Conversational Q&A Chatbot")
st.header("Hey, Let's Chat")
os.environ["GROQ_API_KEY"] = Groq_Api_Key
chat = ChatGroq(temperature=0.5,model="llama3-8b-8192")

if 'flowmessages' not in st.session_state:
    st.session_state['flowmessages'] = [
        SystemMessage(content="you are an Ai assistant answer every question from searching the person name and context from linkdn and based on linkdn give response and link with heading")
    ]

## Function to load OpenAI model and get responses
def get_chatmodel_response(question):
    st.session_state['flowmessages'].append(HumanMessage(content=question))
    answer = chat(st.session_state['flowmessages'])
    st.session_state['flowmessages'].append(AIMessage(content=answer.content))
    return answer.content

input_text = st.text_input("Input: ", key="input")
submit = st.button("Ask the question")

## If ask button is clicked
if submit and input_text:
    response = get_chatmodel_response(input_text)
    st.subheader("The Response is")
    st.write(response)