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import streamlit as st | |
import time | |
# FIRST: Set page config before ANY other Streamlit command | |
st.set_page_config(page_title="Indian Spiritual RAG") | |
# THEN: Import your modules | |
from rag_engine import process_query, load_model | |
from utils import setup_all_auth | |
# Define state for input box style | |
if 'input_focused' not in st.session_state: | |
st.session_state.input_focused = False | |
# Function to update input focus state | |
def set_input_focus(focused): | |
st.session_state.input_focused = focused | |
# Display title with custom styling | |
st.markdown(""" | |
<style> | |
.main-title { | |
font-size: 2.5rem; | |
color: #FF5722; | |
text-align: center; | |
margin-bottom: 1rem; | |
} | |
.button-style { | |
border: 2px solid #FF5722; | |
border-radius: 8px; | |
} | |
.input-style { | |
border: 2px solid #4CAF50; | |
border-radius: 8px; | |
} | |
.stButton>button { | |
border: 2px solid #FF5722 !important; | |
border-radius: 8px !important; | |
} | |
/* Default style for input (green) */ | |
.stTextInput>div>div>input { | |
border: 2px solid #4CAF50 !important; | |
border-radius: 8px !important; | |
} | |
/* Style for active input (red) - will be applied with JavaScript */ | |
</style> | |
<script> | |
document.addEventListener('DOMContentLoaded', function() { | |
// Get the input element | |
const inputElement = document.querySelector('.stTextInput input'); | |
if (inputElement) { | |
// Add event listeners | |
inputElement.addEventListener('focus', function() { | |
this.style.border = '2px solid #FF5722 !important'; | |
}); | |
inputElement.addEventListener('blur', function() { | |
this.style.border = '2px solid #4CAF50 !important'; | |
}); | |
// Set initial state | |
if (document.activeElement === inputElement) { | |
inputElement.style.border = '2px solid #FF5722 !important'; | |
} | |
} | |
}); | |
</script> | |
<div class="main-title">Indian Spiritual Texts Q&A</div> | |
""", unsafe_allow_html=True) | |
# Initialize session state | |
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 | |
# Setup all authentication | |
if not st.session_state.initialized: | |
try: | |
setup_all_auth() | |
except Exception as e: | |
st.error(f"Authentication error: {str(e)}") | |
# Preload the model to avoid session state issues | |
if not st.session_state.initialized: | |
try: | |
init_message = st.empty() | |
init_message.info("Hang in there! We are setting the system up for you. π") | |
# Force model loading at startup to avoid session state issues | |
load_model() | |
# Keep the message for 2 seconds before replacing it | |
time.sleep(2) | |
init_message.success("System initialized successfully!") | |
st.session_state.initialized = True | |
except Exception as e: | |
st.error(f"Error initializing: {str(e)}") | |
# Function to process when enter is pressed or button is clicked | |
def process_input(): | |
st.session_state.last_query = st.session_state.query_input | |
st.session_state.query_input = "" | |
st.session_state.submit_clicked = True | |
# Query input with callback for Enter key | |
query = st.text_input( | |
"Ask your question:", | |
key="query_input", | |
on_change=process_input | |
) | |
# Add JavaScript to change input border color | |
st.markdown(""" | |
<script> | |
// Get the input element | |
const inputElement = document.querySelector('.stTextInput input'); | |
// Add event listeners for focus and blur | |
if (inputElement) { | |
inputElement.addEventListener('focus', function() { | |
this.style.borderColor = '#FF5722'; | |
}); | |
inputElement.addEventListener('blur', function() { | |
this.style.borderColor = '#4CAF50'; | |
}); | |
} | |
</script> | |
""", unsafe_allow_html=True) | |
# Display the current question if there is one | |
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 button | |
if st.button("Get Answer") or st.session_state.submit_clicked: | |
if st.session_state.last_query: | |
# Reset the submit flag | |
st.session_state.submit_clicked = False | |
# Single processing spinner for the entire operation | |
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)}") | |
else: | |
st.warning("Please enter a question first.") | |
# Add helpful information | |
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. | |
""") |