import streamlit as st

from langchain.llms import HuggingFaceEndpoint

#Function to return the response
def load_answer(question):
    llm = HuggingFaceEndpoint(repo_id="mistralai/Mistral-7B-Instruct-v0.2") # Model link : https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2

    #Last week langchain has recommended to use invoke function for the below please :)
    answer=llm.invoke(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)