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| # Chatbot | |
| from langchain_community.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 reponses | |
| def response(question): | |
| llm = OpenAI(openai_api_key=os.getenv("OPEN_API_KEY"), model_name="gpt-3.5-turbo-instruct",temperature=0.6) | |
| res= llm(question) | |
| return res | |
| # streamlit | |
| st.set_page_config(page_title="Question Answering App") | |
| st.header("Langchain Question Answering App") | |
| input = st.text_input("Input: ",key="input") | |
| res=response(input) | |
| submit = st.button("Ask the Question") | |
| # when button is clicked, we should get response | |
| if submit: | |
| st.subheader("RESPONSE:") | |
| st.write(res) |