| # 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(temperature=0.6,model_name="gpt-3.5-turbo-instruct") | |
| response = llm(question) | |
| return response | |
| ## initialize our streamlit app | |
| st.set_page_config(page_title="Q&A Chatbot", page_icon=":robot:") | |
| st.header("Langchain Q&A Chatbot") | |
| input = st.text_input("Input: ", key='input') | |
| response = get_openai_response(input) | |
| submit = st.button("Ask a question") | |
| ## if ask button clicked | |
| if submit: | |
| st.subheader("The answer is:") | |
| st.write(response) |