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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 Open AI model and get response | |
def get_openai_response(question): | |
llm = OpenAI(openai_api_key=os.getenv("OPEN_API_KEY"), model_name = "text-davinci-003", temperature = 0.6) | |
response = llm(question) | |
return response | |
## Intialize 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 the Question") | |
if submit: | |
st.subheader("The response is") | |
st.write(response) |