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| from langchain_community.llms import OpenAI | |
| from dotenv import load_dotenv | |
| import openai | |
| import os | |
| #openai.api_key = os.getenv("OPENAI_API_KEY") | |
| import streamlit as st | |
| ## function to load OpenAI model and get response | |
| def get_openai_response(question): | |
| llm = OpenAI(model_name = "gpt-3.5-turbo-instruct") | |
| response = llm(question) | |
| return response | |
| ### Initialize stremlit 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("Lets begin") | |
| # If asked button is clicked | |
| if submit: | |
| st.subheader("The response is") | |
| st.write(response) | |