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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 by giving link with heading, make sure the link is valid to use")
]
## 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)
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