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import streamlit as st | |
from langchain.llms import OpenAI | |
from dotenv import load_dotenv | |
import os | |
load_dotenv() | |
def get_openai_response(question): | |
llm = OpenAI(openai_api_key=os.environ["OPENAI_API_KEY"], | |
model_name="gpt-3.5-turbo-instruct", temperature=0.5) | |
response = llm(question) | |
return response | |
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("Ask the question") | |
if submit: | |
st.subheader("The Response is") | |
st.write(response) | |