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# Q&A Chatbot using LLMs
from langchain.llms import OpenAI
from dotenv import load_dotenv
load_dotenv() #Fetching the environment variable from .env
import streamlit as st
import os
# Function to load OpenAI model and get response
def get_openai_response(question):
llm = OpenAI(model_name='gpt-3.5-turbo', temperature=0.5)
response = llm(question)
return response
# Initializing Streamlit App
st.set_page_config(page_title="Q&A Demo")
st.header("Langchain Application")
input = st.text_input("Input: ", key="input")
response = get_openai_response(question=input)
submit = st.button("Ask the Question")
# If ask button is clicked
if submit:
st.subheader('The response is')
st.write(response)
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