import streamlit as st
import os
import google.generativeai as ggi

ggi.configure(api_key=os.environ['AIzaSyCg3KDDSpMZGQnzlFWHAXhr4fBjkc_3uIE'])

model = ggi.GenerativeModel(name='gemini-1.5-flash')

def LLM_Response(question):
    response = chat.send_message(question,stream=True)
    return response

st.title("Chat Application using Gemini Pro")

user_quest = st.text_input("Ask a questio:")
btn = st.button("Ask")

if btn and user_quest:
    result = LLM_Response(user_quest)
    st.subheader("Response : ")
    for word in result:
        st.text(word.text)