app.py

import streamlit as st
import time

st.set_page_config(page_title="Indian Spiritual RAG")

# Initialize session state variables
if 'initialized' not in st.session_state:
    st.session_state.initialized = False
if 'last_query' not in st.session_state:
    st.session_state.last_query = ""
if 'submit_clicked' not in st.session_state:
    st.session_state.submit_clicked = False
if 'query_input' not in st.session_state:
    st.session_state.query_input = ""

# Import other modules
from rag_engine import process_query, load_model
from utils import setup_all_auth

# Custom CSS for styling
st.markdown("""
<style>
.main-title {
    font-size: 2.5rem;
    color: #FF5722;
    text-align: center;
    margin-bottom: 1rem;
}
.stButton>button {
    background-color: #4CAF50 !important;
    color: white !important;
    border-radius: 8px !important;
    font-weight: bold !important;
}
div[data-baseweb="input"] {
    border: 3px solid #4CAF50 !important;
    border-radius: 8px !important;
    transition: border-color 0.3s ease-in-out;
}
div[data-baseweb="input"]:focus-within {
    border: 3px solid #FF5722 !important;
}
</style>
<div class="main-title">Indian Spiritual Texts Q&A</div>
""", unsafe_allow_html=True)

# Initialization logic
if not st.session_state.initialized:
    init_message = st.empty()
    init_message.info("Hang in there! We are setting the system up for you. 😊")
    try:
        setup_all_auth()
        load_model()
        st.session_state.initialized = True
        time.sleep(0.5)
        init_message.success("System initialized successfully!")
        time.sleep(1)
        init_message.empty()
    except Exception as e:
        init_message.error(f"Error initializing: {str(e)}")

# Function to handle form submission
def handle_form_submit():
    st.session_state.last_query = st.session_state.query_input
    st.session_state.submit_clicked = True
    st.session_state.query_input = ""  # ✅ Clears input field on submission

# Form for user input
with st.form(key="query_form"):
    query = st.text_input(
        "Ask your question:", 
        key="query_input", 
        value=st.session_state.query_input
    )
    submit_button = st.form_submit_button("Get Answer", on_click=handle_form_submit)

# Display last question
if st.session_state.last_query:
    st.markdown("### Current Question:")
    st.info(st.session_state.last_query)

# Sliders for customization
col1, col2 = st.columns(2)
with col1:
    top_k = st.slider("Number of sources:", 3, 10, 5)
with col2:
    word_limit = st.slider("Word limit:", 50, 500, 200)

# Process query when submitted
if st.session_state.submit_clicked and st.session_state.last_query:
    st.session_state.submit_clicked = False
    with st.spinner("Processing your question..."):
        try:
            result = process_query(st.session_state.last_query, top_k=top_k, word_limit=word_limit)
            st.subheader("Answer:")
            st.write(result["answer_with_rag"])
            st.subheader("Sources:")
            for citation in result["citations"].split("\n"):
                st.write(citation)
        except Exception as e:
            st.error(f"Error processing query: {str(e)}")

# Footer
st.markdown("---")
st.markdown("""
### About this app
This application uses a Retrieval-Augmented Generation (RAG) system to answer questions about Indian spiritual texts.
It searches through a database of texts to find relevant passages and generates answers based on those passages.
""")