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| import streamlit as st | |
| from langchain.llms import OpenAI | |
| def load_answer(question) : | |
| llm = OpenAI(model_name="text-davinci-003",temperature=0) | |
| answer = llm(question) | |
| return answer | |
| #App UI starts here | |
| st.set_page_config(page_title="LangChain Demo", page_icon=":robot:") | |
| st.header("LangChain Demo") | |
| #Gets the user input | |
| def get_text(): | |
| input_text = st.text_input("You: ", 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) | |