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import streamlit as st | |
from langchain_openai import OpenAI | |
def load_answer(question): | |
llm = OpenAI(model_name="gpt-3.5-turbo-instruct",temperature=0) | |
answer=llm.invoke(question) | |
return answer | |
st.set_page_config(page_title="LangChain Demo", page_icon=":robot:") | |
st.header("LangChain Demo") | |
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 submit: | |
st.subheader("Answer:") | |
st.write(response) | |