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# Q&A Chatbot | |
from langchain.llms import OpenAI | |
#from dotenv import load_dotenv | |
#load_dotenv() #take environment variable from .env | |
import streamlit as st | |
import os | |
## Function to load OpenAi model and get respones | |
def get_openai_response(question): | |
llm=OpenAI(temperature=0.6, model='text-davinci-003') | |
response=llm(question) | |
return response | |
## initilaze out 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("Generate the Question") | |
## if ask button is click | |
if submit: | |
st.subheader("The Response is") | |
st.write("response") | |