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# Q&A chatbot
# Run as: streamlit run app.py
from langchain.llms import OpenAI
import streamlit as st
import os
from dotenv import load_dotenv
load_dotenv()
# Function to load OpenAI model and get responses
def get_openai_response(question):
llm = OpenAI(openai_api_key=os.getenv("OPENAI_API_KEY"), model="gpt-3.5-turbo-instruct", temperature=0.0)
response = llm(question)
return response
# initialize Streamlit app
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 a question")
if submit:
st.subheader("Response: ")
st.write(response) |