LangChainQAChat / app.py
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# Q & A Chatbot
from langchain_community.llms import OpenAI
# from dotenv import load_dotenv
# load_dotenv()
import streamlit as st
import os
# Function to load open ai model and get response
def get_openai_response(question):
llm=OpenAI(model_name="gpt-3.5-turbo-instruct",temperature=0.5)
response=llm(question)
return response
#Initialize 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(input)
submit=st.button("Ask the question")
#If button clicked
if submit:
st.subheader("The response is ")
st.write(response)