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| # Q&A Chatbot | |
| from langchain.llms import OpenAI | |
| #from dotenv import load_dotenv | |
| #load_dotenv() #take environment variables 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-instruct", temperature = 0.5) | |
| response = llm(question) | |
| return response | |
| ## Initialize our 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 ask button is clicked | |
| if submit: | |
| st.subheader("The Response is") | |
| st.write(response) | |