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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 response | |
def get_open_ai_response(question): | |
llm = OpenAI(model_name = "gpt-3.5-turbo-instruct", temperature=0.5) | |
response = llm(question) | |
return response | |
# initialise streamlit app | |
st.set_page_config(page_title="Q&A Demo") | |
st.header("Langchain Application") | |
input = st.text_input("Input: ", key = input) | |
response = get_open_ai_response(input) | |
submit = st.button("Ask the question now") | |
# If ask button is clicked | |
if submit: | |
st.subheader("The Response is") | |
st.write(response) |