app.py

from dotenv import load_dotenv
load_dotenv()
import streamlit as st
import os 
import google.generativeai as genai
genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))

#func to load gemini model and get response
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 = "C.A.L.M")

st.header("C.A.L.M")

#intiialize session state for chat history if it doesn't exist
if 'chat_history' not in st.session_state:
    st.session_state['chat_history'] = []
    
input = st.text_input("Input:",key ="input")
submit= st.button("Ask the question")

if submit and input:
    response = get_gemini_response(input)
    
    ## add user query and response to session chat history
    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(("C.A.L.M",chunk.text))
st.subheader("The Chat history is")

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