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## Conversational Q&A Chatbot
import os
import streamlit as st
from dotenv import load_dotenv
from langchain_community.chat_models import ChatOpenAI
from langchain.schema import HumanMessage, SystemMessage, AIMessage
load_dotenv()
# Streamlit UI
st.set_page_config(page_title="Conversational Q&A Chatbot", layout="centered")
st.header("Hey! Let's Chat...")
chat = ChatOpenAI(temperature=0.5)
if 'flow_messages' not in st.session_state:
st.session_state['flow_messages']=[
SystemMessage(content="You are a helpful Coding AI assistant.")
]
# Functions to load OpenAI model and get responses
def gen_openai_response(question):
st.session_state["flow_messages"].append(HumanMessage(content=question))
answer = chat(st.session_state["flow_messages"])
st.session_state["flow_messages"].append(AIMessage(content=answer.content))
return answer.content
user_input= st.text_input("Input: ",key="input")
response= gen_openai_response(user_input)
submit=st.button("Ask the question")
if __name__ == "__main__":
# If ask button is clicked
if submit:
st.subheader("The Response is")
st.write(response) |