from dotenv import load_dotenv

load_dotenv()  # take environment variables from .env.

import streamlit as st
import os
import pathlib
import textwrap

import google.generativeai as genai

from IPython.display import display
from IPython.display import Markdown

os.getenv("GOOGLE_API_KEY")
genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))

## Function to load OpenAI model and get respones
model = genai.GenerativeModel('gemini-pro')
chat = model.start_chat(history=[])


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


##initialize our streamlit app

st.set_page_config(page_title="Q&A Demo")

st.header("Gemini Application")

input = st.text_input("Input: ", key="input")

submit = st.button("Ask the question")

## If ask button is clicked

if submit:

    response = get_gemini_response(input)
    st.subheader("The Response is")
    for chunk in response:
        print(st.write(chunk.text))
        print("_" * 80)

    st.write(chat.history)