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| from langchain.llms import OpenAI | |
| import streamlit as st | |
| import os | |
| #os.environ["OPENAI_API_KEY"]="" | |
| #Function to return the response | |
| def load_answer(question): | |
| llm=OpenAI(model_name="gpt-3.5-turbo-instruct",temperature=0) | |
| answer=llm(question) | |
| return answer | |
| #App UI starts here | |
| st.set_page_config(page_title="Langchain Project") | |
| st.header("A Simple Langchain Project") | |
| #Gets the user input | |
| def get_text(): | |
| input_text =st.text_input("Enter Question",key="input") | |
| return input_text | |
| user_input =get_text() | |
| response =load_answer(user_input) | |
| submit=st.button('Generate') | |
| #If generate button is clicked | |
| if submit: | |
| st.subheader("Answer:") | |
| st.write(response) | |