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| # Q&A Chatbot using LLMs | |
| from langchain.llms import OpenAI | |
| from dotenv import load_dotenv | |
| load_dotenv() #Fetching the environment variable 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', temperature=0.5) | |
| response = llm(question) | |
| return response | |
| # Initializing 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(question=input) | |
| submit = st.button("Ask the Question") | |
| # If ask button is clicked | |
| if submit: | |
| st.subheader('The response is') | |
| st.write(response) | |