app.py

import streamlit as st

from langchain.llms import HuggingFaceHub

def load_answer(question):
    llm = HuggingFaceHub(repo_id="NousResearch/Llama-2-13b-hf")
    answer=llm(question)
    return answer

st.set_page_config(page_title="Gloria-GPT", page_icon=":robot:")
st.header("Hi, I am Gloria-GPT, How may I assist you ?")

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)