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import streamlit as st
# from langchain.llms import OpenAI
from langchain.llms import HuggingFace
## Function to return the response
def load_answer(question):
# llm = OpenAI(model_name="gpt-3.5-turbo")
llm = HuggingFace(model_name="google/flan-t5-large")
answer = llm(question)
return answer
## App UI starts here
st.set_page_config(page_title="LangChain Demo", page_icon="🦜")
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) |