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#Q&A Chatbot | |
from langchain.llms import OpenAI | |
from dotenv import load_dotenv | |
load_dotenv() # take environment variables from .env | |
import streamlit as st | |
import os | |
## Function to load OpenAI model and get response | |
def get_openai_response(question): | |
llm=OpenAI(openai_api_key=os.getenv("OPENAI_API_KEY"),model_name="gpt-4",temperature=0.6) | |
response=llm(question) | |
return response | |
## Initialize 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 Question") | |
## If ask button is clicked | |
if submit: | |
st.subheader("the response is") | |
st.write(response) | |