app.py

from dotenv import load_dotenv
load_dotenv()

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

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

#call gemini model, receive response
model = genai.GenerativeModel("gemini-pro")
chat = model.start_chat(history=[])

#this function gives back response to question asked

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

#Streamlit Part (initialization app)

st.set_page_config(page_title = "Conversational Gemini ChatBot")
st.header("Powered by Google Gemini API")

# using session state of streamlit for chat history 
#initially it is empty, later when we have conversations it will be stored in this session state
#name of session state is chat history

if 'chat_history' not in st.session_state:
    st.session_state['chat_history'] = []

input = st.text_input("Input: ", key=input)
submit = st.button("Ask Question!")

if input and submit:
    response = gemini_response(input)

    st.session_state['chat_history'].append(("You", input))
    st.subheader("The Response is...")
    for chunk in response:
        st.write(chunk.text)
        st.session_state['chat_history'].append(("ChatBot", chunk))

st.subheader("The History is...")

for role, text in st.session_state['chat_history']:
    st.write(f"{role}: {text}")