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#Q&A Chatbot | |
from langchain.llms import OpenAI | |
from dotenv import load_dotenv | |
load_dotenv() | |
import streamlit as st | |
import os | |
#Function to load OPENAI Model and get responses | |
def get_openai_response(question): | |
llm = OpenAI(model="gpt-3.5-turbo-instruct",temperature = 0.6, openai_api_key = os.environ["OPENAI_API_KEY"] ) | |
response = llm(question) | |
return response | |
#Initialize 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_openai_response(input) | |
sumbit = st.button("Ask the Question..") | |
if sumbit: | |
st.subheader("The response is ") | |
st.write(response) |