Spaces:
Sleeping
Sleeping
| # Q & A chatbot | |
| from langchain.llms import OpenAI | |
| # from dotenv import load_dotenv | |
| # load_dotenv() | |
| import streamlit as st | |
| import os | |
| # Function to load openai model and get response | |
| def get_open_ai_response(question): | |
| llm = OpenAI(model_name = "gpt-3.5-turbo-instruct", temperature=0.5) | |
| response = llm(question) | |
| return response | |
| # initialise streamlit app | |
| st.set_page_config(page_title="Q&A Demo") | |
| st.header("Langchain Application") | |
| input = st.text_input("Input: ", key = input) | |
| response = get_open_ai_response(input) | |
| submit = st.button("Ask the question now") | |
| # If ask button is clicked | |
| if submit: | |
| st.subheader("The Response is") | |
| st.write(response) |