LangchainQAChat / app.py
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# Q&A Chatbot
from langchain_community.llms import OpenAI
from dotenv import load_dotenv
load_dotenv()
import streamlit as st
import os
## Function to load OpenAI model and get reaponse
def get_openap_response(question):
llm = OpenAI(openai_api_key=os.getenv("OPEN_API_KEY"),model_name="gpt-3.5-turbo-instruct", temperature=0.6)
response = llm(question)
return response
##initilisze our streamlit app
st.set_page_config(page_title="Q&A Demo")
st.header("Langchain Application")
input = st.text_input("Input: ", key="input")
response = get_openap_response(input)
submit = st.button("Ask the question")
## If ask button is clicked
if submit:
st.subheader("The response is ")
st.write(response)