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import streamlit as st
from langchain.llms import OpenAI
#Function to return the response
def load_answer(question):
llm = OpenAI(model_name="gpt-3.5-turbo",temperature=0)
answer=llm(question)
return answer
#App UI starts here
st.set_page_config(page_title="Entz's LLM LangChain-OpenAI", page_icon=":ant:")
st.header("Entz's LLM LangChain-OpenAI Base Model")
#Gets the user input
def question():
input_text = st.text_input("Enter your question: ", key="input")
return input_text
user_input = question()
response = load_answer(user_input)
submit = st.button('Entz AI Answer')
#If generate button is clicked
if submit:
st.subheader("According to Entz AI:")
st.write(response)
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