|
|
|
from langchain.llms import OpenAI |
|
from dotenv import load_dotenv |
|
|
|
load_dotenv() |
|
|
|
import streamlit as st |
|
import os |
|
|
|
|
|
|
|
|
|
def get_open_response(question): |
|
llm= OpenAI(openai_api_key=os.getenv("OPEN_API_KEY"), model_name="text-davinci-003", temperature=0.5) |
|
response=llm(question) |
|
return response |
|
|
|
|
|
st.set_page_config(page_title="Q&A Demo") |
|
st.header("Langchain Application") |
|
|
|
input = st.text_input("Input: ", key="input") |
|
response = get_open_response(input) |
|
submit = st.button("Generate") |
|
|
|
|
|
|
|
if submit: |
|
st.subheader("The Reponse is") |
|
st.write(response) |
|
|