app.py

# from langchain.llms import OpenAI
from langchain_openai import OpenAI

from dotenv import load_dotenv
# from langchain import HuggingFaceHub
import os

load_dotenv()

os.environ['OPENAI_API_KEY'] = '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'

import streamlit as st


def get_openai_response(question):
    print(question)
    llm=OpenAI(model_name='gpt-4', temperature=0.6)
    # response = llm_huggingface.predict(question[0])
    response = llm(question)
    return response
    
st.set_page_config(page_title='QA demo')

st.header('LangChain APP')

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)