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from langchain.llms import OpenAI | |
from dotenv import load_dotenv | |
import os | |
load_dotenv() | |
import streamlit as st | |
## function to load openai and get responses | |
def get_openai_response(quesetion): | |
llm=OpenAI(openai_api_key=os.getenv("OPEN_API_KEY"), model_name="text-davinci-003", temperature=0.5) | |
response = llm(quesetion) | |
return response | |
## initialize streamlit and set input field and button | |
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 button is submitted | |
if submit: | |
st.subheader("The response is") | |
st.write(response) |