app.py

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


def to_markdown(text):
    text = text.replace('•', '  *')
    return Markdown(textwrap.indent(text, '> ', predicate=lambda _: True))


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


## Function to load OpenAI model and get respones

def get_gemini_response(question):
    model = genai.GenerativeModel('gemini-pro')
    response = model.generate_content(question)
    return response.text


##initialize our streamlit app

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

st.header("Sujatha Pro")

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")
    st.write(response)