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Update app.py
Browse files
app.py
CHANGED
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@@ -35,9 +35,6 @@ if 'page_loaded' not in st.session_state:
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# Reset query state when returning to home page
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st.session_state.last_query = ""
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st.session_state.last_answer = None
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# Add placeholder initialization tracking
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if 'placeholders_initialized' not in st.session_state:
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st.session_state.placeholders_initialized = False
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# THEN: Import your modules
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from rag_engine import process_query, load_model, cached_load_data_files
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@@ -54,7 +51,7 @@ def navigate_to_sources():
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<script>
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// Wait for the page to fully load
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document.addEventListener('DOMContentLoaded', (event) => {
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// This
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const sourcesLink = Array.from(document.querySelectorAll('a.css-z5fcl4')).find(el => el.innerText === 'Sources');
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if (sourcesLink) {
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sourcesLink.click();
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@@ -210,40 +207,13 @@ div.stInfo {
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.source-link:hover {
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color: #6a1b9a;
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}
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/* Prevent layout shifts during loading */
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.stApp {
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min-height: 100vh;
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}
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/* Add smooth transitions to reduce perceived jerkiness */
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* {
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transition: opacity 0.15s ease-in-out;
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}
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/* Fix heights for containers that might change during loading */
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div.stSpinner {
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min-height: 50px;
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display: flex;
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align-items: center;
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justify-content: center;
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}
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/* Ensure question and answer containers have consistent height */
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div.stInfo, .answer-container {
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min-height: 30px;
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}
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</style>
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<div class="main-title">Spirituality Q&A</div>
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""", unsafe_allow_html=True)
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# Initialize placeholders at the start
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if not st.session_state.placeholders_initialized:
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st.session_state.question_placeholder = st.empty()
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st.session_state.slider_placeholder = st.empty()
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st.session_state.answer_placeholder = st.empty()
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st.session_state.sources_placeholder = st.empty()
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st.session_state.placeholders_initialized = True
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-
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# Centered button layout without columns
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_, center_col, _ = st.columns([1, 2, 1])
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with center_col:
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if st.session_state.show_acknowledgment:
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st.markdown('<div class="thank-you-button">', unsafe_allow_html=True)
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if st.button("Hide Thank You Note", on_click=toggle_acknowledgment, disabled=st.session_state.is_processing, use_container_width=True):
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@@ -260,9 +230,8 @@ init_message = st.empty()
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if not st.session_state.initialized:
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init_message.info("Hang in there! We are setting the system up for you. 😊")
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try:
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# Setup authentication and preload heavy resources
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setup_all_auth()
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load_model() #
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cached_load_data_files() # Preload FAISS index, text chunks, and metadata
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st.session_state.initialized = True
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st.session_state.init_time = time.time()
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@@ -295,8 +264,6 @@ if st.session_state.show_acknowledgment:
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This application is merely a humble vessel for the ocean of wisdom they have shared with the world. We claim no ownership of these teachings - only profound gratitude for the opportunity to help make them more accessible.
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""")
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-
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# Link to Sources using Streamlit's built-in way
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st.markdown('<div class="more-info-link">', unsafe_allow_html=True)
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st.write("For detailed information about our sources, please visit the *Sources* page in the navigation menu.")
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st.markdown('</div>', unsafe_allow_html=True)
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@@ -304,13 +271,12 @@ if st.session_state.show_acknowledgment:
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# Function to handle query selection from the common questions buttons
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def set_query(query):
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# If already processing, ignore further input
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if st.session_state.is_processing:
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return
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st.session_state.last_query = query
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st.session_state.submit_clicked = True
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st.session_state.is_processing = True
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-
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# Function to group questions into rows based on length
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def group_buttons(questions, max_chars_per_row=100):
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@@ -318,7 +284,6 @@ def group_buttons(questions, max_chars_per_row=100):
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current_row = []
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current_length = 0
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for q in questions:
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# Add some buffer for button padding/margins
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q_length = len(q) + 5
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if current_length + q_length > max_chars_per_row and current_row:
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rows.append(current_row)
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@@ -331,7 +296,6 @@ def group_buttons(questions, max_chars_per_row=100):
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rows.append(current_row)
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return rows
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# All common questions in a single list
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common_questions = [
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"What is the Atman or the soul?",
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"Are there rebirths?",
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@@ -345,10 +309,7 @@ common_questions = [
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"How can you attain self-realization?"
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]
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# Display heading for common questions
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st.markdown("### Few questions to try:")
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# Group questions into rows and create buttons (disabled if processing)
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question_rows = group_buttons(common_questions, max_chars_per_row=80)
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for row_idx, row in enumerate(question_rows):
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cols = st.columns(len(row))
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@@ -359,74 +320,47 @@ for row_idx, row in enumerate(question_rows):
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# Function to handle form submission
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def handle_form_submit():
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# If already processing, ignore further input
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if st.session_state.is_processing:
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return
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if st.session_state.query_input and st.session_state.query_input.strip():
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st.session_state.last_query = st.session_state.query_input.strip()
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st.session_state.submit_clicked = True
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st.session_state.is_processing = True
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# Increment the form key to force a reset
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st.session_state.form_key += 1
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st.rerun()
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# Create a form with a dynamic key (to allow resetting)
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with st.form(key=f"query_form_{st.session_state.form_key}"):
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query = st.text_input("Ask your question:", key="query_input",
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placeholder="Press enter to submit your question", disabled=st.session_state.is_processing)
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submit_button = st.form_submit_button("Get Answer", on_click=handle_form_submit, disabled=st.session_state.is_processing)
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# Display the current question if available using placeholders
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if st.session_state.last_query:
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-
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st.info(st.session_state.last_query)
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else:
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st.session_state.question_placeholder.empty()
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-
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with
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with col2:
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word_limit = st.slider("Word limit:", 50, 500, 200)
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# Process the query only if it has been explicitly submitted
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if st.session_state.submit_clicked and st.session_state.last_query:
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st.session_state.submit_clicked = False
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except Exception as e:
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st.session_state.last_answer = {"answer_with_rag": f"Error processing query: {str(e)}", "citations": ""}
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# Reset processing flag
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st.session_state.is_processing = False
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st.rerun() # Still using rerun, but the layout is more stable now
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# Display the answer if available using placeholders
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if st.session_state.last_answer is not None:
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-
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st.subheader("Sources:")
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for citation in st.session_state.last_answer["citations"].split("\n"):
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st.write(citation)
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else:
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st.session_state.answer_placeholder.empty()
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st.session_state.sources_placeholder.empty()
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# Add helpful information
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st.markdown("---")
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# About section with enhanced explanations
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st.markdown("""
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### About this app
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This application uses a Retrieval-Augmented Generation (RAG) system to answer questions about spirituality based on insights from Indian spiritual texts. It searches through a database of texts to find relevant passages and generates answers based on those passages.
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@@ -442,7 +376,6 @@ We value your feedback to enhance this application. Please visit the *Contacts*
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For more information about the source texts used, see *Sources* in the navigation menu.
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""")
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# Citation note at the bottom - improved with support message
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st.markdown('<div class="citation-note">', unsafe_allow_html=True)
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st.markdown("""
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The answers presented in this application are re-presented summaries of relevant passages from the listed citations.
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# Reset query state when returning to home page
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st.session_state.last_query = ""
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st.session_state.last_answer = None
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# THEN: Import your modules
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from rag_engine import process_query, load_model, cached_load_data_files
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<script>
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// Wait for the page to fully load
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document.addEventListener('DOMContentLoaded', (event) => {
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// This selects the nav item for the Sources page in the sidebar
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const sourcesLink = Array.from(document.querySelectorAll('a.css-z5fcl4')).find(el => el.innerText === 'Sources');
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if (sourcesLink) {
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sourcesLink.click();
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.source-link:hover {
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color: #6a1b9a;
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}
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</style>
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<div class="main-title">Spirituality Q&A</div>
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""", unsafe_allow_html=True)
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# Centered button layout without columns
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_, center_col, _ = st.columns([1, 2, 1])
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with center_col:
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if st.session_state.show_acknowledgment:
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st.markdown('<div class="thank-you-button">', unsafe_allow_html=True)
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if st.button("Hide Thank You Note", on_click=toggle_acknowledgment, disabled=st.session_state.is_processing, use_container_width=True):
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if not st.session_state.initialized:
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init_message.info("Hang in there! We are setting the system up for you. 😊")
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try:
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setup_all_auth()
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load_model() # Uses cached_load_model via alias
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cached_load_data_files() # Preload FAISS index, text chunks, and metadata
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st.session_state.initialized = True
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st.session_state.init_time = time.time()
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This application is merely a humble vessel for the ocean of wisdom they have shared with the world. We claim no ownership of these teachings - only profound gratitude for the opportunity to help make them more accessible.
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""")
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st.markdown('<div class="more-info-link">', unsafe_allow_html=True)
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st.write("For detailed information about our sources, please visit the *Sources* page in the navigation menu.")
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st.markdown('</div>', unsafe_allow_html=True)
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# Function to handle query selection from the common questions buttons
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def set_query(query):
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if st.session_state.is_processing:
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return
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st.session_state.last_query = query
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st.session_state.submit_clicked = True
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st.session_state.is_processing = True
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# No explicit rerun here; widget interaction already triggers a re-run
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# Function to group questions into rows based on length
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def group_buttons(questions, max_chars_per_row=100):
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current_row = []
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current_length = 0
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for q in questions:
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q_length = len(q) + 5
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if current_length + q_length > max_chars_per_row and current_row:
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rows.append(current_row)
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rows.append(current_row)
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return rows
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common_questions = [
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"What is the Atman or the soul?",
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"Are there rebirths?",
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"How can you attain self-realization?"
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]
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st.markdown("### Few questions to try:")
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question_rows = group_buttons(common_questions, max_chars_per_row=80)
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for row_idx, row in enumerate(question_rows):
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cols = st.columns(len(row))
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# Function to handle form submission
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def handle_form_submit():
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if st.session_state.is_processing:
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return
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if st.session_state.query_input and st.session_state.query_input.strip():
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st.session_state.last_query = st.session_state.query_input.strip()
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st.session_state.submit_clicked = True
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st.session_state.is_processing = True
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st.session_state.form_key += 1
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with st.form(key=f"query_form_{st.session_state.form_key}"):
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query = st.text_input("Ask your question:", key="query_input",
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placeholder="Press enter to submit your question", disabled=st.session_state.is_processing)
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submit_button = st.form_submit_button("Get Answer", on_click=handle_form_submit, disabled=st.session_state.is_processing)
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if st.session_state.last_query:
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st.markdown("### Current Question:")
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st.info(st.session_state.last_query)
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col1, col2 = st.columns(2)
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with col1:
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top_k = st.slider("Number of sources:", 3, 10, 5)
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with col2:
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word_limit = st.slider("Word limit:", 50, 500, 200)
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if st.session_state.submit_clicked and st.session_state.last_query:
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st.session_state.submit_clicked = False
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with st.spinner("Processing your question..."):
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try:
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result = process_query(st.session_state.last_query, top_k=top_k, word_limit=word_limit)
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st.session_state.last_answer = result
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except Exception as e:
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st.session_state.last_answer = {"answer_with_rag": f"Error processing query: {str(e)}", "citations": ""}
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st.session_state.is_processing = False # Reset processing flag
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if st.session_state.last_answer is not None:
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st.subheader("Answer:")
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st.write(st.session_state.last_answer["answer_with_rag"])
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st.subheader("Sources:")
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for citation in st.session_state.last_answer["citations"].split("\n"):
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st.write(citation)
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st.markdown("---")
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st.markdown("""
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### About this app
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This application uses a Retrieval-Augmented Generation (RAG) system to answer questions about spirituality based on insights from Indian spiritual texts. It searches through a database of texts to find relevant passages and generates answers based on those passages.
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For more information about the source texts used, see *Sources* in the navigation menu.
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""")
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st.markdown('<div class="citation-note">', unsafe_allow_html=True)
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st.markdown("""
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The answers presented in this application are re-presented summaries of relevant passages from the listed citations.
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