Update app.py

app.py

@@ -1,230 +1,1385 @@
 import io
 import re
-import os
-import glob
-import asyncio
-import hashlib
-import unicodedata
 import streamlit as st
+import glob
+import os
 from PIL import Image
 import fitz
-import edge_tts
 from reportlab.lib.pagesizes import A4
 from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, Table, TableStyle
 from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
 from reportlab.lib import colors
 from reportlab.pdfbase import pdfmetrics
 from reportlab.pdfbase.ttfonts import TTFont
+import unicodedata
+import asyncio
+import websockets
+import uuid
+from datetime import datetime
+import random
+import time
+import hashlib
+import base64
+import streamlit.components.v1 as components
+import edge_tts
+from audio_recorder_streamlit import audio_recorder
+import nest_asyncio
+import pytz
+import shutil
+import anthropic
+import openai
+from PyPDF2 import PdfReader
+import threading
+import json
+import zipfile
+from gradio_client import Client
+from dotenv import load_dotenv
+from streamlit_marquee import streamlit_marquee
+from collections import defaultdict, Counter
+import pandas as pd
+
+nest_asyncio.apply()
 
 st.set_page_config(layout="wide", initial_sidebar_state="collapsed")
 
-async def generate_audio(text, voice):
-    filename = f"{hashlib.md5(text.encode()).hexdigest()}_{voice}.mp3"
-    communicate = edge_tts.Communicate(text, voice)
-    await communicate.save(filename)
+icons = '🤖🧠🔬📝'
+Site_Name = '🤖🧠Chat & Quote Node📝🔬'
+START_ROOM = "Sector 🌌"
+FUN_USERNAMES = {
+    "CosmicJester 🌌": "en-US-AriaNeural",
+    "PixelPanda 🐼": "en-US-JennyNeural",
+    "QuantumQuack 🦆": "en-GB-SoniaNeural",
+    "StellarSquirrel 🐿️": "en-AU-NatashaNeural",
+    "GizmoGuru ⚙️": "en-CA-ClaraNeural",
+    "NebulaNinja 🌠": "en-US-GuyNeural",
+    "ByteBuster 💾": "en-GB-RyanNeural",
+    "GalacticGopher 🌍": "en-AU-WilliamNeural",
+    "RocketRaccoon 🚀": "en-CA-LiamNeural",
+    "EchoElf 🧝": "en-US-AnaNeural",
+    "PhantomFox 🦊": "en-US-BrandonNeural",
+    "WittyWizard 🧙": "en-GB-ThomasNeural",
+    "LunarLlama 🌙": "en-AU-FreyaNeural",
+    "SolarSloth ☀️": "en-CA-LindaNeural",
+    "AstroAlpaca 🦙": "en-US-ChristopherNeural",
+    "CyberCoyote 🐺": "en-GB-ElliotNeural",
+    "MysticMoose 🦌": "en-AU-JamesNeural",
+    "GlitchGnome 🧚": "en-CA-EthanNeural",
+    "VortexViper 🐍": "en-US-AmberNeural",
+    "ChronoChimp 🐒": "en-GB-LibbyNeural"
+}
+EDGE_TTS_VOICES = list(set(FUN_USERNAMES.values()))
+FILE_EMOJIS = {"md": "📝", "mp3": "🎵", "png": "🖼️", "mp4": "🎥", "zip": "📦"}
+
+for d in ["chat_logs", "vote_logs", "audio_logs", "history_logs", "audio_cache", "paper_metadata"]:
+    os.makedirs(d, exist_ok=True)
+
+CHAT_DIR = "chat_logs"
+VOTE_DIR = "vote_logs"
+MEDIA_DIR = "."
+AUDIO_CACHE_DIR = "audio_cache"
+AUDIO_DIR = "audio_logs"
+PAPER_DIR = "paper_metadata"
+STATE_FILE = "user_state.txt"
+
+CHAT_FILE = os.path.join(CHAT_DIR, "global_chat.md")
+QUOTE_VOTES_FILE = os.path.join(VOTE_DIR, "quote_votes.md")
+IMAGE_VOTES_FILE = os.path.join(VOTE_DIR, "image_votes.md")
+HISTORY_FILE = os.path.join(VOTE_DIR, "vote_history.md")
+
+load_dotenv()
+anthropic_key = os.getenv('ANTHROPIC_API_KEY', st.secrets.get('ANTHROPIC_API_KEY', ""))
+openai_api_key = os.getenv('OPENAI_API_KEY', st.secrets.get('OPENAI_API_KEY', ""))
+openai_client = openai.OpenAI(api_key=openai_api_key)
+
+def format_timestamp_prefix(username=""):
+    central = pytz.timezone('US/Central')
+    now = datetime.now(central)
+    return f"{now.strftime('%Y%m%d_%H%M%S')}-by-{username}"
+
+class PerformanceTimer:
+    def __init__(self, name):
+        self.name, self.start = name, None
+    def __enter__(self):
+        self.start = time.time()
+        return self
+    def __exit__(self, *args):
+        duration = time.time() - self.start
+        st.session_state['operation_timings'][self.name] = duration
+        st.session_state['performance_metrics'][self.name].append(duration)
+
+def init_session_state():
+    defaults = {
+        'server_running': False, 'server_task': None, 'active_connections': {},
+        'media_notifications': [], 'last_chat_update': 0, 'displayed_chat_lines': [],
+        'message_text': "", 'audio_cache': {}, 'pasted_image_data': None,
+        'quote_line': None, 'refresh_rate': 10, 'base64_cache': {},
+        'transcript_history': [], 'last_transcript': "", 'image_hashes': set(),
+        'tts_voice': "en-US-AriaNeural", 'chat_history': [], 'marquee_settings': {
+            "background": "#1E1E1E", "color": "#FFFFFF", "font-size": "14px",
+            "animationDuration": "20s", "width": "100%", "lineHeight": "35px"
+        }, 'operation_timings': {}, 'performance_metrics': defaultdict(list),
+        'enable_audio': True, 'download_link_cache': {}, 'username': None,
+        'autosend': True, 'autosearch': True, 'last_message': "", 'last_query': "",
+        'mp3_files': {}, 'timer_start': time.time(), 'quote_index': 0,
+        'quote_source': "famous", 'last_sent_transcript': "", 'old_val': None,
+        'last_refresh': time.time(), 'paper_metadata': {}, 'paste_image_base64': "",
+        'use_arxiv': True, 'use_arxiv_audio': False, 'speech_processed': False,
+        'auto_refresh': True
+    }
+    for k, v in defaults.items():
+        if k not in st.session_state:
+            st.session_state[k] = v
+
+def update_marquee_settings_ui():
+    st.sidebar.markdown("### 🎯 Marquee Settings")
+    cols = st.sidebar.columns(2)
+    with cols[0]:
+        st.session_state['marquee_settings']['background'] = st.color_picker("🎨 Background", "#1E1E1E")
+        st.session_state['marquee_settings']['color'] = st.color_picker("✍️ Text", "#FFFFFF")
+    with cols[1]:
+        st.session_state['marquee_settings']['font-size'] = f"{st.slider('📏 Size', 10, 24, 14)}px"
+        st.session_state['marquee_settings']['animationDuration'] = f"{st.slider('⏱️ Speed', 1, 20, 20)}s"
+
+def display_marquee(text, settings, key_suffix=""):
+    truncated = text[:280] + "..." if len(text) > 280 else text
+    streamlit_marquee(content=truncated, **settings, key=f"marquee_{key_suffix}")
+    st.write("")
+
+def clean_text_for_tts(text):
+    return re.sub(r'[#*!\[\]]+', '', ' '.join(text.split()))[:200] or "No text"
+
+def clean_text_for_filename(text):
+    return '_'.join(re.sub(r'[^\w\s-]', '', text.lower()).split())[:50]
+
+def get_high_info_terms(text, top_n=10):
+    stop_words = {'the', 'a', 'an', 'and', 'or', 'but', 'in', 'on', 'at', 'to', 'for', 'of', 'with'}
+    words = re.findall(r'\b\w+(?:-\w+)*\b', text.lower())
+    bi_grams = [' '.join(pair) for pair in zip(words, words[1:])]
+    filtered = [t for t in words + bi_grams if t not in stop_words and len(t.split()) <= 2]
+    return [t for t, _ in Counter(filtered).most_common(top_n)]
+
+def generate_filename(prompt, username, file_type="md", title=None):
+    timestamp = format_timestamp_prefix(username)
+    if title:
+        high_info = '-'.join(get_high_info_terms(title, 5))
+        return f"{timestamp}-{clean_text_for_filename(prompt[:20])}-{high_info}.{file_type}"
+    hash_val = hashlib.md5(prompt.encode()).hexdigest()[:8]
+    return f"{timestamp}-{hash_val}.{file_type}"
+
+def create_file(prompt, username, file_type="md", title=None):
+    filename = generate_filename(prompt, username, file_type, title)
+    with open(filename, 'w', encoding='utf-8') as f:
+        f.write(prompt)
     return filename
 
-def apply_emoji_font(text, emoji_font):
-    emoji_pattern = re.compile(
-        r"([\U0001F300-\U0001F5FF"
-        r"\U0001F600-\U0001F64F"
-        r"\U0001F680-\U0001F6FF"
-        r"\U0001F700-\U0001F77F"
-        r"\U0001F780-\U0001F7FF"
-        r"\U0001F800-\U0001F8FF"
-        r"\U0001F900-\U0001F9FF"
-        r"\U0001FA00-\U0001FA6F"
-        r"\U0001FA70-\U0001FAFF"
-        r"\u2600-\u26FF"
-        r"\u2700-\u27BF]+)"
-    )
-    def replace_emoji(match):
-        emoji = match.group(1)
-        emoji = unicodedata.normalize('NFC', emoji)
-        return f'<font face="{emoji_font}">{emoji}</font>'
-    segments = []
-    last_pos = 0
-    for match in emoji_pattern.finditer(text):
-        start, end = match.span()
-        if last_pos < start:
-            segments.append(f'<font face="DejaVuSans">{text[last_pos:start]}</font>')
-        segments.append(replace_emoji(match))
-        last_pos = end
-    if last_pos < len(text):
-        segments.append(f'<font face="DejaVuSans">{text[last_pos:]}</font>')
-    return ''.join(segments)
-
-def markdown_to_pdf_content(markdown_text, render_with_bold, auto_bold_numbers):
-    lines = markdown_text.strip().split('\n')
-    pdf_content = []
-    number_pattern = re.compile(r'^\d+\.\s')
-    for line in lines:
-        line = line.strip()
-        if not line or line.startswith('# '):
-            continue
-        if render_with_bold:
-            line = re.sub(r'\*\*(.*?)\*\*', r'<b>\1</b>', line)
-        if auto_bold_numbers and number_pattern.match(line):
-            if not (line.startswith("<b>") and line.endswith("</b>")):
-                line = f"<b>{line}</b>"
-        pdf_content.append(line)
-    total_lines = len(pdf_content)
-    return pdf_content, total_lines
-
-def create_pdf(markdown_text, base_font_size, render_with_bold, auto_bold_numbers, enlarge_numbered, num_columns):
-    buffer = io.BytesIO()
-    page_width = A4[0] * 2
-    page_height = A4[1]
-    doc = SimpleDocTemplate(buffer, pagesize=(page_width, page_height), leftMargin=36, rightMargin=36, topMargin=36, bottomMargin=36)
-    styles = getSampleStyleSheet()
-    spacer_height = 10
-    section_spacer_height = 15
-    pdf_content, total_lines = markdown_to_pdf_content(markdown_text, render_with_bold, auto_bold_numbers)
-    item_style = ParagraphStyle(
-        'ItemStyle', parent=styles['Normal'], fontName="DejaVuSans",
-        fontSize=base_font_size, leading=base_font_size * 1.15, spaceAfter=1
-    )
-    bold_style = ParagraphStyle(
-        'BoldStyle', parent=styles['Normal'], fontName="NotoEmoji-Bold",
-        fontSize=base_font_size, leading=base_font_size * 1.15, spaceAfter=1
-    )
-    numbered_bold_style = ParagraphStyle(
-        'NumberedBoldStyle', parent=styles['Normal'], fontName="NotoEmoji-Bold",
-        fontSize=base_font_size + 1 if enlarge_numbered else base_font_size,
-        leading=(base_font_size + 1) * 1.15 if enlarge_numbered else base_font_size * 1.15, spaceAfter=1
-    )
-    section_style = ParagraphStyle(
-        'SectionStyle', parent=styles['Heading2'], fontName="DejaVuSans",
-        textColor=colors.darkblue, fontSize=base_font_size * 1.1, leading=base_font_size * 1.32, spaceAfter=2
-    )
+def get_download_link(file, file_type="mp3"):
+    cache_key = f"dl_{file}"
+    if cache_key not in st.session_state['download_link_cache']:
+        with open(file, "rb") as f:
+            b64 = base64.b64encode(f.read()).decode()
+        mime_types = {"mp3": "audio/mpeg", "png": "image/png", "mp4": "video/mp4", "md": "text/markdown", "zip": "application/zip"}
+        st.session_state['download_link_cache'][cache_key] = f'<a href="data:{mime_types.get(file_type, "application/octet-stream")};base64,{b64}" download="{os.path.basename(file)}">{FILE_EMOJIS.get(file_type, "Download")} Download {os.path.basename(file)}</a>'
+    return st.session_state['download_link_cache'][cache_key]
+
+def save_username(username):
     try:
-        available_font_files = glob.glob("*.ttf")
-        if not available_font_files:
-            st.error("No .ttf font files found in the current directory.")
-            return
-        selected_font_path = None
-        for f in available_font_files:
-            if "NotoEmoji-Bold" in f:
-                selected_font_path = f
-                break
-        if selected_font_path:
-            pdfmetrics.registerFont(TTFont("NotoEmoji-Bold", selected_font_path))
-        pdfmetrics.registerFont(TTFont("DejaVuSans", "DejaVuSans.ttf"))
+        with open(STATE_FILE, 'w') as f:
+            f.write(username)
     except Exception as e:
-        st.error(f"Font registration error: {e}")
-        return
-    columns = [[] for _ in range(num_columns)]
-    lines_per_column = total_lines / num_columns if num_columns > 0 else total_lines
-    current_line_count = 0
-    current_column = 0
-    number_pattern = re.compile(r'^\d+\.\s')
-    for item in pdf_content:
-        if current_line_count >= lines_per_column and current_column < num_columns - 1:
-            current_column += 1
-            current_line_count = 0
-        columns[current_column].append(item)
-        current_line_count += 1
-    column_cells = [[] for _ in range(num_columns)]
-    for col_idx, column in enumerate(columns):
-        for item in column:
-            if isinstance(item, str) and item.startswith("<b>") and item.endswith("</b>"):
-                content = item[3:-4].strip()
-                if number_pattern.match(content):
-                    column_cells[col_idx].append(Paragraph(apply_emoji_font(content, "NotoEmoji-Bold"), numbered_bold_style))
-                else:
-                    column_cells[col_idx].append(Paragraph(apply_emoji_font(content, "NotoEmoji-Bold"), section_style))
+        print(f"Failed to save username: {e}")
+
+def load_username():
+    if os.path.exists(STATE_FILE):
+        try:
+            with open(STATE_FILE, 'r') as f:
+                return f.read().strip()
+        except Exception as e:
+            print(f"Failed to load username: {e}")
+    return None
+
+def concatenate_markdown_files(exclude_files=["README.md"]):
+    md_files = sorted([f for f in glob.glob("*.md") if os.path.basename(f) not in exclude_files], key=os.path.getmtime)
+    all_md_content = ""
+    for i, md_file in enumerate(md_files, 1):
+        with open(md_file, 'r', encoding='utf-8') as f:
+            content = f.read().strip()
+            all_md_content += f"{i}. {content}\n"
+    return all_md_content.rstrip()
+
+def get_chat_text_only(exclude_files=["README.md"]):
+    md_files = sorted([f for f in glob.glob("*.md") if os.path.basename(f) not in exclude_files], key=os.path.getmtime)
+    chat_text = ""
+    for i, md_file in enumerate(md_files, 1):
+        with open(md_file, 'r', encoding='utf-8') as f:
+            content = f.read().strip()
+            lines = content.split('\n')
+            for line in lines:
+                if line.strip() and not line.startswith('#'):
+                    match = re.match(r'\[(.*?)\]\s(.*?)\s\((.*?)\):\s*(.*)', line)
+                    if match:
+                        message = match.group(4).strip()
+                        if message.startswith('```markdown'):
+                            message = message.replace('```markdown', '').replace('```', '').strip()
+                        chat_text += f"{message}\n"
+    return chat_text.rstrip()
+
+async def async_edge_tts_generate(text, voice, username, rate=0, pitch=0, file_format="mp3"):
+    cache_key = f"{text[:100]}_{voice}_{rate}_{pitch}_{file_format}"
+    if cache_key in st.session_state['audio_cache']:
+        return st.session_state['audio_cache'][cache_key], 0
+    start_time = time.time()
+    text = clean_text_for_tts(text)
+    if not text or text == "No text":
+        print(f"Skipping audio generation for empty/invalid text: '{text}'")
+        return None, 0
+    filename = f"{format_timestamp_prefix(username)}-{hashlib.md5(text.encode()).hexdigest()[:8]}.{file_format}"
+    try:
+        communicate = edge_tts.Communicate(text, voice, rate=f"{rate:+d}%", pitch=f"{pitch:+d}Hz")
+        await communicate.save(filename)
+        if os.path.exists(filename) and os.path.getsize(filename) > 0:
+            st.session_state['audio_cache'][cache_key] = filename
+            return filename, time.time() - start_time
+        else:
+            print(f"Audio file {filename} was not created or is empty.")
+            return None, 0
+    except edge_tts.exceptions.NoAudioReceived as e:
+        print(f"No audio received for text: '{text}' with voice: {voice}. Error: {e}")
+        return None, 0
+    except Exception as e:
+        print(f"Error generating audio for text: '{text}' with voice: {voice}. Error: {e}")
+        return None, 0
+
+def play_and_download_audio(file_path):
+    if file_path and os.path.exists(file_path):
+        st.audio(file_path)
+        st.markdown(get_download_link(file_path), unsafe_allow_html=True)
+    else:
+        st.warning(f"Audio file not found: {file_path}")
+
+def load_mp3_viewer():
+    mp3_files = sorted(glob.glob("*.mp3"), key=os.path.getmtime)
+    for i, mp3 in enumerate(mp3_files, 1):
+        filename = os.path.basename(mp3)
+        if filename not in st.session_state['mp3_files']:
+            st.session_state['mp3_files'][filename] = (i, mp3)
+
+async def save_chat_entry(username, message, voice, is_markdown=False):
+    if not message.strip() or message == st.session_state.last_transcript:
+        return None, None
+    central = pytz.timezone('US/Central')
+    timestamp = datetime.now(central).strftime("%Y-%m-%d %H:%M:%S")
+    entry = f"[{timestamp}] {username} ({voice}): {message}" if not is_markdown else f"[{timestamp}] {username} ({voice}):\n```markdown\n{message}\n```"
+    md_file = create_file(entry, username, "md")
+    with open(CHAT_FILE, 'a') as f:
+        f.write(f"{entry}\n")
+    audio_file, _ Distance = await async_edge_tts_generate(message, voice, username)
+    if audio_file:
+        with open(HISTORY_FILE, 'a') as f:
+            f.write(f"[{timestamp}] {username}: Audio - {audio_file}\n")
+        st.session_state['mp3_files'][os.path.basename(audio_file)] = (len(st.session_state['chat_history']) + 1, audio_file)
+        if st.session_state.get('speech_processed', False) and st.session_state.get('message_input', '') == message:
+            st.session_state['message_input'] = ""
+            st.session_state['speech_processed'] = False
+    else:
+        st.warning(f"Failed to generate audio for: {message}")
+    await broadcast_message(f"{username}|{message}", "chat")
+    st.session_state.last_chat_update = time.time()
+    st.session_state.chat_history.append(entry)
+    st.session_state.last_transcript = message
+    return md_file, audio_file
+
+async def load_chat():
+    if not os.path.exists(CHAT_FILE):
+        with open(CHAT_FILE, 'a') as f:
+            f.write(f"# {START_ROOM} Chat\n\nWelcome to the cosmic hub! 🎤\n")
+    with open(CHAT_FILE, 'r') as f:
+        content = f.read().strip()
+    lines = content.split('\n')
+    unique_lines = list(dict.fromkeys(line for line in lines if line.strip()))
+    return unique_lines
+
+async def perform_claude_search(query, username, image=None):
+    if not query.strip() or query == st.session_state.last_transcript:
+        return None, None, None
+    client = anthropic.Anthropic(api_key=anthropic_key)
+    message_content = [{"type": "text", "text": query}]
+    if image:
+        buffered = io.BytesIO()
+        image.save(buffered, format="PNG")
+        img_base64 = base64.b64encode(buffered.getvalue()).decode('utf-8')
+        message_content.append({
+            "type": "image",
+            "source": {
+                "type": "base64",
+                "media_type": "image/png",
+                "data": img_base64
+            }
+        })
+    try:
+        response = client.messages.create(
+            model="claude-3-sonnet-20240229",
+            max_tokens=1000,
+            messages=[{"role": "user", "content": message_content}]
+        )
+        result = response.content[0].text
+        st.markdown(f"### Claude's Reply 🧠\n{result}")
+    except Exception as e:
+        st.error(f"Claude processing failed: {e}")
+        return None, None, None
+    
+    voice = FUN_USERNAMES.get(username, "en-US-AriaNeural")
+    full_text = f"Prompt: {query}\nResponse: {result}"
+    md_file, audio_file = await save_chat_entry(username, full_text, voice, True)
+    return md_file, audio_file, result
+
+async def perform_arxiv_search(query, username, claude_result=None):
+    if not query.strip() or query == st.session_state.last_transcript:
+        return None, None
+    if claude_result is None:
+        client = anthropic.Anthropic(api_key=anthropic_key)
+        claude_response = client.messages.create(
+            model="claude-3-sonnet-20240229",
+            max_tokens=1000,
+            messages=[{"role": "user", "content": query}]
+        )
+        claude_result = claude_response.content[0].text
+        st.markdown(f"### Claude's Reply 🧠\n{claude_result}")
+    
+    enhanced_query = f"{query}\n\n{claude_result}"
+    gradio_client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
+    refs = gradio_client.predict(
+        enhanced_query, 10, "Semantic Search", "mistralai/Mixtral-8x7B-Instruct-v0.1", api_name="/update_with_rag_md"
+    )[0]
+    result = f"🔎 {enhanced_query}\n\n{refs}"
+    voice = FUN_USERNAMES.get(username, "en-US-AriaNeural")
+    md_file, audio_file = await save_chat_entry(username, result, voice, True)
+    return md_file, audio_file
+
+async def perform_ai_lookup(q, vocal_summary=True, extended_refs=False, titles_summary=True, full_audio=False, useArxiv=True, useArxivAudio=False):
+    start = time.time()
+    client = anthropic.Anthropic(api_key=anthropic_key)
+    response = client.messages.create(
+        model="claude-3-sonnet-20240229",
+        max_tokens=1000,
+        messages=[{"role": "user", "content": q}]
+    )
+    st.write("Claude's reply 🧠:")
+    st.markdown(response.content[0].text)
+
+    result = response.content[0].text
+    md_file = create_file(result, "System", "md")
+    audio_file, _ = await async_edge_tts_generate(result, st.session_state['tts_voice'], "System")
+    st.subheader("📝 Main Response Audio")
+    play_and_download_audio(audio_file)
+
+    papers = []
+    if useArxiv:
+        q = q + result
+        st.write('Running Arxiv RAG with Claude inputs.')
+        gradio_client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
+        refs = gradio_client.predict(
+            q, 20, "Semantic Search", "mistralai/Mixtral-8x7B-Instruct-v0.1", api_name="/update_with_rag_md"
+        )[0]
+        papers = parse_arxiv_refs(refs, q)
+        for paper in papers:
+            filename = create_file(generate_5min_feature_markdown(paper), "System", "md", paper['title'])
+            paper['md_file'] = filename
+            st.session_state['paper_metadata'][paper['title']] = filename
+        if papers and useArxivAudio:
+            await create_paper_audio_files(papers, q)
+    elapsed = time.time() - start
+    st.write(f"**Total Elapsed:** {elapsed:.2f} s")
+    return result, papers
+
+async def websocket_handler(websocket, path):
+    client_id = str(uuid.uuid4())
+    room_id = "chat"
+    if room_id not in st.session_state.active_connections:
+        st.session_state.active_connections[room_id] = {}
+    st.session_state.active_connections[room_id][client_id] = websocket
+    username = st.session_state.get('username', random.choice(list(FUN_USERNAMES.keys())))
+    chat_content = await load_chat()
+    if not any(f"Client-{client_id}" in line for line in chat_content):
+        await save_chat_entry("System 🌟", f"{username} has joined {START_ROOM}!", "en-US-AriaNeural")
+    try:
+        async for message in websocket:
+            if '|' in message:
+                username, content = message.split('|', 1)
+                voice = FUN_USERNAMES.get(username, "en-US-AriaNeural")
+                await save_chat_entry(username, content, voice)
             else:
-                column_cells[col_idx].append(Paragraph(apply_emoji_font(item, "DejaVuSans"), item_style))
-    max_cells = max(len(cells) for cells in column_cells) if column_cells else 0
-    for cells in column_cells:
-        cells.extend([Paragraph("", item_style)] * (max_cells - len(cells)))
-    col_width = (page_width - 72) / num_columns if num_columns > 0 else page_width - 72
-    table_data = list(zip(*column_cells)) if column_cells else [[]]
-    table = Table(table_data, colWidths=[col_width] * num_columns, hAlign='CENTER')
-    table.setStyle(TableStyle([
-        ('VALIGN', (0, 0), (-1, -1), 'TOP'),
-        ('ALIGN', (0, 0), (-1, -1), 'LEFT'),
-        ('BACKGROUND', (0, 0), (-1, -1), colors.white),
-        ('GRID', (0, 0), (-1, -1), 0, colors.white),
-        ('LINEAFTER', (0, 0), (num_columns-1, -1), 0.5, colors.grey),
-        ('LEFTPADDING', (0, 0), (-1, -1), 2),
-        ('RIGHTPADDING', (0, 0), (-1, -1), 2),
-        ('TOPPADDING', (0, 0), (-1, -1), 1),
-        ('BOTTOMPADDING', (0, 0), (-1, -1), 1),
-    ]))
-    story = [Spacer(1, spacer_height), table]
-    doc.build(story)
-    buffer.seek(0)
-    return buffer.getvalue()
-
-def pdf_to_image(pdf_bytes):
+                await websocket.send("ERROR|Message format: username|content")
+    except websockets.ConnectionClosed:
+        await save_chat_entry("System 🌟", f"{username} has left {START_ROOM}!", "en-US-AriaNeural")
+    finally:
+        if room_id in st.session_state.active_connections and client_id in st.session_state.active_connections[room_id]:
+            del st.session_state.active_connections[room_id][client_id]
+
+async def broadcast_message(message, room_id):
+    if room_id in st.session_state.active_connections:
+        disconnected = []
+        for client_id, ws in st.session_state.active_connections[room_id].items():
+            try:
+                await ws.send(message)
+            except websockets.ConnectionClosed:
+                disconnected.append(client_id)
+        for client_id in disconnected:
+            if client_id in st.session_state.active_connections[room_id]:
+                del st.session_state.active_connections[room_id][client_id]
+
+async def run_websocket_server():
+    if not st.session_state.get('server_running', False):
+        server = await websockets.serve(websocket_handler, '0.0.0.0', 8765)
+        st.session_state['server_running'] = True
+        await server.wait_closed()
+
+def start_websocket_server():
+    loop = asyncio.new_event_loop()
+    asyncio.set_event_loop(loop)
+    loop.run_until_complete(run_websocket_server())
+
+class AudioProcessor:
+    def __init__(self):
+        self.cache_dir = AUDIO_CACHE_DIR
+        os.makedirs(self.cache_dir, exist_ok=True)
+        self.metadata = json.load(open(f"{self.cache_dir}/metadata.json")) if os.path.exists(f"{self.cache_dir}/metadata.json") else {}
+
+    def _save_metadata(self):
+        with open(f"{self.cache_dir}/metadata.json", 'w') as f:
+            json.dump(self.metadata, f)
+
+    async def create_audio(self, text, voice='en-US-AriaNeural'):
+        cache_key = hashlib.md5(f"{text}:{voice}".encode()).hexdigest()
+        cache_path = f"{self.cache_dir}/{cache_key}.mp3"
+        if cache_key in self.metadata and os.path.exists(cache_path):
+            return cache_path
+        text = clean_text_for_tts(text)
+        if not text:
+            return None
+        communicate = edge_tts.Communicate(text, voice)
+        await communicate.save(cache_path)
+        self.metadata[cache_key] = {'timestamp': datetime.now().isoformat(), 'text_length': len(text), 'voice': voice}
+        self._save_metadata()
+        return cache_path
+
+def process_pdf(pdf_file, max_pages, voice, audio_processor):
+    reader = PdfReader(pdf_file)
+    total_pages = min(len(reader.pages), max_pages)
+    texts, audios = [], {}
+    async def process_page(i, text):
+        audio_path = await audio_processor.create_audio(text, voice)
+        if audio_path:
+            audios[i] = audio_path
+    for i in range(total_pages):
+        text = reader.pages[i].extract_text()
+        texts.append(text)
+        threading.Thread(target=lambda: asyncio.run(process_page(i, text))).start()
+    return texts, audios, total_pages
+
+def parse_arxiv_refs(ref_text, query):
+    if not ref_text:
+        return []
+    papers = []
+    current = {}
+    for line in ref_text.split('\n'):
+        if line.count('|') == 2:
+            if current:
+                papers.append(current)
+            date, title, *_ = line.strip('* ').split('|')
+            url = re.search(r'(https://arxiv.org/\S+)', line).group(1) if re.search(r'(https://arxiv.org/\S+)', line) else f"paper_{len(papers)}"
+            current = {'date': date, 'title': title, 'url': url, 'authors': '', 'summary': '', 'full_audio': None, 'download_base64': '', 'query': query}
+        elif current:
+            if not current['authors']:
+                current['authors'] = line.strip('* ')
+            else:
+                current['summary'] += ' ' + line.strip() if current['summary'] else line.strip()
+    if current:
+        papers.append(current)
+    return papers[:20]
+
+def generate_5min_feature_markdown(paper):
+    title, summary, authors, date, url = paper['title'], paper['summary'], paper['authors'], paper['date'], paper['url']
+    pdf_url = url.replace("abs", "pdf") + (".pdf" if not url.endswith(".pdf") else "")
+    wct, sw = len(title.split()), len(summary.split())
+    terms = get_high_info_terms(summary, 15)
+    rouge = round((len(terms) / max(sw, 1)) * 100, 2)
+    mermaid = "```mermaid\nflowchart TD\n" + "\n".join(f'    T{i+1}["{terms[i]}"] --> T{i+2}["{terms[i+1]}"]' for i in range(len(terms)-1)) + "\n```"
+    return f"""
+## 📄 {title}
+**Authors:** {authors}  
+**Date:** {date}  
+**Words:** Title: {wct}, Summary: {sw}  
+**Links:** [Abstract]({url}) | [PDF]({pdf_url})  
+**Terms:** {', '.join(terms)}  
+**ROUGE:** {rouge}%  
+### 🎤 TTF Read Aloud
+- **Title:** {title}  
+- **Terms:** {', '.join(terms)}  
+- **ROUGE:** {rouge}%  
+#### Concepts Graph
+{mermaid}
+---
+"""
+
+async def create_paper_audio_files(papers, query):
+    for p in papers:
+        audio_text = clean_text_for_tts(f"{p['title']} by {p['authors']}. {p['summary']}")
+        p['full_audio'], _ = await async_edge_tts_generate(audio_text, st.session_state['tts_voice'], p['authors'])
+        if p['full_audio']:
+            p['download_base64'] = get_download_link(p['full_audio'])
+
+def save_vote(file, item, user_hash):
+    timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+    entry = f"[{timestamp}] {user_hash} voted for {item}"
+    try:
+        with open(file, 'a') as f:
+            f.write(f"{entry}\n")
+        with open(HISTORY_FILE, 'a') as f:
+            f.write(f"- {timestamp} - User {user_hash} voted for {item}\n")
+        return True
+    except Exception as e:
+        print(f"Vote save flop: {e}")
+        return False
+
+def load_votes(file):
+    if not os.path.exists(file):
+        with open(file, 'w') as f:
+            f.write("# Vote Tally\n\nNo votes yet - get clicking! 🖱️\n")
+    try:
+        with open(file, 'r') as f:
+            lines = f.read().strip().split('\n')
+        votes = {}
+        for line in lines[2:]:
+            if line.strip() and 'voted for' in line:
+                item = line.split('voted for ')[1]
+                votes[item] = votes.get(item, 0) + 1
+        return votes
+    except Exception as e:
+        print(f"Vote load oopsie: {e}")
+        return {}
+
+def generate_user_hash():
+    if 'user_hash' not in st.session_state:
+        session_id = str(random.getrandbits(128))
+        hash_object = hashlib.md5(session_id.encode())
+        st.session_state['user_hash'] = hash_object.hexdigest()[:8]
+    return st.session_state['user_hash']
+
+async def save_pasted_image(image, username, prompt=""):
+    img_hash = hashlib.md5(image.tobytes()).hexdigest()[:8]
+    if img_hash in st.session_state.image_hashes:
+        return None
+    context = prompt if prompt else st.session_state.get('last_message', "pasted_image")
+    timestamp = format_timestamp_prefix(username)
+    filename = f"{timestamp}-{clean_text_for_filename(context)}-{img_hash}.png"
+    filepath = filename
     try:
-        doc = fitz.open(stream=pdf_bytes, filetype="pdf")
-        images = []
-        for page in doc:
-            pix = page.get_pixmap(matrix=fitz.Matrix(2.0, 2.0))
-            img = Image.frombytes("RGB", [pix.width, pix.height], pix.samples)
-            images.append(img)
-        doc.close()
-        return images
+        image.save(filepath, "PNG")
+        st.session_state.image_hashes.add(img_hash)
+        await save_chat_entry(username, f"Pasted image saved: {filepath}", FUN_USERNAMES.get(username, "en-US-AriaNeural"))
+        return filepath
     except Exception as e:
-        st.error(f"Failed to render PDF preview: {e}")
+        st.error(f"Failed to save image: {e}")
         return None
 
-md_files = [f for f in glob.glob("*.md") if os.path.basename(f) != "README.md"]
-md_options = [os.path.splitext(os.path.basename(f))[0] for f in md_files]
-
-with st.sidebar:
-    st.markdown("### PDF Options")
-    selected_md = st.selectbox("Select Markdown File", options=md_options, index=0 if md_options else -1)
-    available_font_files = {os.path.splitext(os.path.basename(f))[0]: f for f in glob.glob("*.ttf")}
-    selected_font_name = st.selectbox("Select Emoji Font", options=list(available_font_files.keys()), index=list(available_font_files.keys()).index("NotoEmoji-Bold") if "NotoEmoji-Bold" in available_font_files else 0)
-    base_font_size = st.slider("Font Size (points)", min_value=6, max_value=16, value=8, step=1)
-    render_with_bold = st.checkbox("Render with Bold Formatting (remove ** markers)", value=True, key="render_with_bold")
-    auto_bold_numbers = st.checkbox("Auto Bold Numbered Lines", value=True, key="auto_bold_numbers")
-    enlarge_numbered = st.checkbox("Enlarge Font Size for Numbered Lines", value=True, key="enlarge_numbered")
-    num_columns = st.selectbox("Number of Columns", options=[1, 2, 3, 4, 5, 6], index=3)
-    if 'markdown_content' not in st.session_state or not md_options:
-        st.session_state.markdown_content = ""
-    if md_options and selected_md:
-        with open(f"{selected_md}.md", "r", encoding="utf-8") as f:
-            st.session_state.markdown_content = f.read()
-    edited_markdown = st.text_area("Modify the markdown content below:", value=st.session_state.markdown_content, height=300, key=f"markdown_{selected_md}_{selected_font_name}_{num_columns}")
-    if st.button("Update PDF"):
-        st.session_state.markdown_content = edited_markdown
-        with open(f"{selected_md}.md", "w", encoding="utf-8") as f:
-            f.write(edited_markdown)
-        st.experimental_rerun()
-    st.download_button(label="Save Markdown", data=st.session_state.markdown_content, file_name=f"{selected_md}.md", mime="text/markdown")
-    st.markdown("### Text-to-Speech")
-    VOICES = ["en-US-AriaNeural", "en-US-JennyNeural", "en-GB-SoniaNeural", "en-US-GuyNeural", "en-US-AnaNeural"]
-    selected_voice = st.selectbox("Select Voice for TTS", options=VOICES, index=0)
-    if st.button("Generate Audio"):
-        audio_file = asyncio.run(generate_audio(st.session_state.markdown_content, selected_voice))
-        st.audio(audio_file)
-        with open(audio_file, "rb") as f:
-            audio_bytes = f.read()
-        st.download_button("Download Audio", data=audio_bytes, file_name=os.path.basename(audio_file), mime="audio/mpeg")
-
-if not md_options:
-    st.warning("No .md files found in the directory (excluding README.md). Using default content.")
-    default_markdown = """# Default Markdown Content
-This is a sample **bold text** example.
-1. **Introduction**
-2. **Core Concepts**
-3. **Summary**"""
-    st.session_state.markdown_content = default_markdown
-
-with st.spinner("Generating PDF..."):
-    pdf_bytes = create_pdf(st.session_state.markdown_content, base_font_size, render_with_bold, auto_bold_numbers, enlarge_numbered, num_columns)
-
-with st.container():
-    pdf_images = pdf_to_image(pdf_bytes)
-    if pdf_images:
-        for img in pdf_images:
-            st.image(img, use_container_width=True)
-    else:
-        st.info("Download the PDF to view it locally.")
+def create_zip_of_files(files, prefix="All", query="latest"):
+    if not files:
+        return None
+    terms = get_high_info_terms(" ".join([open(f, 'r', encoding='utf-8').read() if f.endswith('.md') else os.path.splitext(os.path.basename(f))[0].replace('_', ' ') for f in files] + [query]), 5)
+    zip_name = f"{prefix}_{format_timestamp_prefix()}_{'-'.join(terms)[:20]}.zip"
+    with zipfile.ZipFile(zip_name, 'w') as z:
+        [z.write(f) for f in files]
+    return zip_name
+
+def delete_files(file_type, exclude_files=["README.md"]):
+    files = glob.glob(f"*.{file_type}")
+    if file_type == "md":
+        files = [f for f in files if os.path.basename(f) not in exclude_files]
+    for f in files:
+        try:
+            os.remove(f)
+            st.session_state['mp3_files'] = {k: v for k, v in st.session_state['mp3_files'].items() if not k.endswith(f".{file_type}")}
+        except Exception as e:
+            st.error(f"Failed to delete {f}: {e}")
+    if file_type in ["md", "mp3", "png", "mp4"]:
+        st.session_state['download_link_cache'] = {}
+
+def paste_image_component():
+    with st.form(key="paste_form"):
+        paste_input = st.text_area("Paste Image Data Here", key="paste_input", height=100)
+        submit_button = st.form_submit_button("Paste Image 📋")
+        
+        if submit_button and paste_input:
+            try:
+                if paste_input.startswith('data:image'):
+                    mime_type = paste_input.split(';')[0].split(':')[1]
+                    base64_str = paste_input.split(',')[1]
+                    img_bytes = base64.b64decode(base64_str)
+                    img = Image.open(io.BytesIO(img_bytes))
+                    st.image(img, caption=f"Pasted Image ({mime_type.split('/')[1].upper()})", use_column_width=True)
+                    return img, mime_type.split('/')[1]
+                else:
+                    st.warning("Pasted data is not a recognized image format.")
+                    return None, None
+            except Exception as e:
+                st.error(f"Error decoding pasted image: {e}")
+                return None, None
+    return None, None
+
+def create_pdf_tab(default_markdown):
+    font_files = glob.glob("*.ttf")
+    if not font_files:
+        st.error("No .ttf font files found in the current directory. Please add some, e.g., NotoEmoji-Bold.ttf and DejaVuSans.ttf.")
+        return
+    available_fonts = {os.path.splitext(os.path.basename(f))[0]: f for f in font_files}
+
+    md_files = [f for f in glob.glob("*.md") if os.path.basename(f) != "README.md"]
+    md_options = [os.path.splitext(os.path.basename(f))[0] for f in md_files]
+
+    with st.sidebar:
+        selected_md = st.selectbox("Select Markdown File", options=md_options, index=0 if md_options else -1)
+        selected_font_name = st.selectbox("Select Emoji Font", options=list(available_fonts.keys()), index=0 if "NotoEmoji-Bold" in available_fonts else 0)
+        selected_font_path = available_fonts[selected_font_name]
+        base_font_size = st.slider("Font Size (points)", min_value=6, max_value=16, value=8, step=1)
+        plain_text_mode = st.checkbox("Render as Plain Text (Preserve Bold Only)", value=False)
+        auto_bold_numbers = st.checkbox("Auto-Bold Numbered Lines", value=False)
+        enlarge_font_size = st.checkbox("Enlarge Font Size for Numbered Lines", value=True)
+        num_columns = st.selectbox("Number of Columns", options=[1, 2, 3, 4, 5, 6], index=3)
+
+        if 'markdown_content' not in st.session_state or not md_options:
+            st.session_state.markdown_content = default_markdown
+        
+        if md_options and selected_md:
+            with open(f"{selected_md}.md", "r", encoding="utf-8") as f:
+                st.session_state.markdown_content = f.read()
+
+        edited_markdown = st.text_area("Modify the markdown content below:", value=st.session_state.markdown_content, height=300, key=f"markdown_{selected_md}_{selected_font_name}_{num_columns}")
+        if st.button("Update PDF"):
+            st.session_state.markdown_content = edited_markdown
+            with open(f"{selected_md}.md", "w", encoding="utf-8") as f:
+                f.write(edited_markdown)
+            st.rerun()
+        
+        st.download_button(label="Save Markdown", data=st.session_state.markdown_content, file_name=f"{selected_md}.md", mime="text/markdown")
+
+        st.subheader("Voice Settings")
+        voice = st.selectbox("Select Voice", options=EDGE_TTS_VOICES, index=0)
+        if st.button("Generate MP3"):
+            audio_file, _ = asyncio.run(async_edge_tts_generate(edited_markdown, voice, "System"))
+            if audio_file:
+                st.audio(audio_file)
+                st.markdown(get_download_link(audio_file), unsafe_allow_html=True)
+
+    if not md_options:
+        st.warning("No .md files found in the directory (excluding README.md). Using default content.")
+        return
+
+    try:
+        pdfmetrics.registerFont(TTFont(selected_font_name, selected_font_path))
+        pdfmetrics.registerFont(TTFont("DejaVuSans", "DejaVuSans.ttf"))
+    except Exception as e:
+        st.error(f"Failed to register fonts: {e}. Ensure both {selected_font_name}.ttf and DejaVuSans.ttf are in the directory.")
+        return
+
+    def apply_emoji_font(text, emoji_font):
+        emoji_pattern = re.compile(
+            r"([\U0001F300-\U0001F5FF"
+            r"\U0001F600-\U0001F64F"
+            r"\U0001F680-\U0001F6FF"
+            r"\U0001F700-\U0001F77F"
+            r"\U0001F780-\U0001F7FF"
+            r"\U0001F800-\U0001F8FF"
+            r"\U0001F900-\U0001F9FF"
+            r"\U0001FA00-\U0001FA6F"
+            r"\U0001FA70-\U0001FAFF"
+            r"\u2600-\u26FF"
+            r"\u2700-\u27BF]+)"
+        )
+
+        def replace_emoji(match):
+            emoji = match.group(1)
+            emoji = unicodedata.normalize('NFC', emoji)
+            return f'<font face="{emoji_font}">{emoji}</font>'
+
+        segments = []
+        last_pos = 0
+        for match in emoji_pattern.finditer(text):
+            start, end = match.span()
+            if last_pos < start:
+                segments.append(f'<font face="DejaVuSans">{text[last_pos:start]}</font>')
+            segments.append(replace_emoji(match))
+            last_pos = end
+        if last_pos < len(text):
+            segments.append(f'<font face="DejaVuSans">{text[last_pos:]}</font>')
+        return ''.join(segments)
+
+    def markdown_to_pdf_content(markdown_text, plain_text_mode, auto_bold_numbers):
+        lines = markdown_text.strip().split('\n')
+        pdf_content = []
+        number_pattern = re.compile(r'^\d+\.\s')
+
+        if plain_text_mode:
+            for line in lines:
+                line = line.strip()
+                if not line or line.startswith('# '):
+                    continue
+                bold_pattern = re.compile(r'\*\*(.*?)\*\*')
+                line = bold_pattern.sub(r'<b>\1</b>', line)
+                line = re.sub(r'\*\*', '', line)
+                pdf_content.append(line)
+        else:
+            for line in lines:
+                line = line.strip()
+                if not line or line.startswith('# '):
+                    continue
+                bold_pattern = re.compile(r'\*\*(.*?)\*\*')
+                if bold_pattern.search(line):
+                    line = bold_pattern.sub(r'<b>\1</b>', line)
+                    line = re.sub(r'\*\*', '', line)
+                if line.startswith('## ') or line.startswith('### '):
+                    text = line.replace('## ', '').replace('### ', '').strip()
+                    pdf_content.append(f"<b>{text}</b>")
+                elif auto_bold_numbers and number_pattern.match(line):
+                    pdf_content.append(f"<b>{line}</b>")
+                else:
+                    pdf_content.append(line.strip())
+
+        total_lines = len(pdf_content)
+        return pdf_content, total_lines
+
+    def create_pdf(markdown_text, base_font_size, plain_text_mode, num_columns, auto_bold_numbers, enlarge_font_size):
+        buffer = io.BytesIO()
+        page_width = A4[0] * 2
+        page_height = A4[1]
+        doc = SimpleDocTemplate(buffer, pagesize=(page_width, page_height), leftMargin=36, rightMargin=36, topMargin=36, bottomMargin=36)
+        styles = getSampleStyleSheet()
+        story = []
+        spacer_height = 10
+        section_spacer_height = 15
+        pdf_content, total_lines = markdown_to_pdf_content(markdown_text, plain_text_mode, auto_bold_numbers)
+
+        item_font_size = base_font_size
+        section_font_size = base_font_size * 1.1
+        numbered_font_size = base_font_size + 1 if enlarge_font_size else base_font_size
+
+        section_style = ParagraphStyle(
+            'SectionStyle', parent=styles['Heading2'], fontName="DejaVuSans",
+            textColor=colors.darkblue, fontSize=section_font_size, leading=section_font_size * 1.2, spaceAfter=2
+        )
+        item_style = ParagraphStyle(
+            'ItemStyle', parent=styles['Normal'], fontName="DejaVuSans",
+            fontSize=item_font_size, leading=item_font_size * 1.15, spaceAfter=1
+        )
+        numbered_style = ParagraphStyle(
+            'NumberedStyle', parent=styles['Normal'], fontName="DejaVuSans",
+            fontSize=numbered_font_size, leading=numbered_font_size * 1.15, spaceAfter=1
+        )
+
+        story.append(Spacer(1, spacer_height))
+        columns = [[] for _ in range(num_columns)]
+        lines_per_column = total_lines / num_columns if num_columns > 0 else total_lines
+        current_line_count = 0
+        current_column = 0
+
+        number_pattern = re.compile(r'^\d+\.\s')
+        for i, item in enumerate(pdf_content):
+            if i > 0 and number_pattern.match(item.replace('<b>', '').replace('</b>', '')):
+                columns[current_column].append(Spacer(1, section_spacer_height))
+            
+            if current_line_count >= lines_per_column and current_column < num_columns - 1:
+                current_column += 1
+                current_line_count = 0
+            columns[current_column].append(item)
+            current_line_count += 1
+
+        column_cells = [[] for _ in range(num_columns)]
+        for col_idx, column in enumerate(columns):
+            for item in column:
+                if isinstance(item, Spacer):
+                    column_cells[col_idx].append(item)
+                elif isinstance(item, str) and item.startswith('<b>'):
+                    text = item.replace('<b>', '').replace('</b>', '')
+                    column_cells[col_idx].append(Paragraph(apply_emoji_font(text, selected_font_name), section_style))
+                elif number_pattern.match(item):
+                    column_cells[col_idx].append(Paragraph(apply_emoji_font(item, selected_font_name), numbered_style))
+                else:
+                    column_cells[col_idx].append(Paragraph(apply_emoji_font(item, selected_font_name), item_style))
+
+        max_cells = max(len(cells) for cells in column_cells) if column_cells else 0
+        for cells in column_cells:
+            cells.extend([Paragraph("", item_style)] * (max_cells - len(cells)))
+
+        col_width = (page_width - 72) / num_columns if num_columns > 0 else page_width - 72
+        table_data = list(zip(*column_cells)) if column_cells else [[]]
+        table = Table(table_data, colWidths=[col_width] * num_columns, hAlign='CENTER')
+        table.setStyle(TableStyle([
+            ('VALIGN', (0, 0), (-1, -1), 'TOP'), ('ALIGN', (0, 0), (-1, -1), 'LEFT'),
+            ('BACKGROUND', (0, 0), (-1, -1), colors.white), ('GRID', (0, 0), (-1, -1), 0, colors.white),
+            ('LINEAFTER', (0, 0), (num_columns-1, -1), 0.5, colors.grey),
+            ('LEFTPADDING', (0, 0), (-1, -1), 2), ('RIGHTPADDING', (0, 0), (-1, -1), 2),
+            ('TOPPADDING', (0, 0), (-1, -1), 1), ('BOTTOMPADDING', (0, 0), (-1, -1), 1),
+        ]))
+
+        story.append(table)
+        doc.build(story)
+        buffer.seek(0)
+        return buffer.getvalue()
+
+    def pdf_to_image(pdf_bytes):
+        try:
+            doc = fitz.open(stream=pdf_bytes, filetype="pdf")
+            images = []
+            for page in doc:
+                pix = page.get_pixmap(matrix=fitz.Matrix(2.0, 2.0))
+                img = Image.frombytes("RGB", [pix.width, pix.height], pix.samples)
+                images.append(img)
+            doc.close()
+            return images
+        except Exception as e:
+            st.error(f"Failed to render PDF preview: {e}")
+            return None
+
+    with st.spinner("Generating PDF..."):
+        pdf_bytes = create_pdf(st.session_state.markdown_content, base_font_size, plain_text_mode, num_columns, auto_bold_numbers, enlarge_font_size)
+
+    with st.container():
+        pdf_images = pdf_to_image(pdf_bytes)
+        if pdf_images:
+            for img in pdf_images:
+                st.image(img, use_container_width=True)
+        else:
+            st.info("Download the PDF to view it locally.")
+
+    with st.sidebar:
+        st.download_button(label="Download PDF", data=pdf_bytes, file_name="deities_guide.pdf", mime="application/pdf")
+
+def main():
+    init_session_state()
+    load_mp3_viewer()
+    saved_username = load_username()
+    if saved_username and saved_username in FUN_USERNAMES:
+        st.session_state.username = saved_username
+    if not st.session_state.username:
+        available = [n for n in FUN_USERNAMES if not any(f"{n} has joined" in l for l in asyncio.run(load_chat()))]
+        st.session_state.username = random.choice(available or list(FUN_USERNAMES.keys()))
+        st.session_state.tts_voice = FUN_USERNAMES[st.session_state.username]
+        asyncio.run(save_chat_entry("System 🌟", f"{st.session_state.username} has joined {START_ROOM}!", "en-US-AriaNeural"))
+    save_username(st.session_state.username)
+
+    st.title(f"{Site_Name} for {st.session_state.username}")
+    update_marquee_settings_ui()
+    chat_text = get_chat_text_only()
+    display_marquee(f"🚀 Welcome to {START_ROOM} | 🤖 {st.session_state.username} | Chat: {chat_text}", st.session_state['marquee_settings'], "welcome")
+
+    mycomponent = components.declare_component("mycomponent", path="mycomponent")
+    val = mycomponent(my_input_value="", key=f"speech_{st.session_state.get('speech_processed', False)}")
+    if val and val != st.session_state.last_transcript:
+        val_stripped = val.strip().replace('\n', ' ')
+        if val_stripped:
+            voice = FUN_USERNAMES.get(st.session_state.username, "en-US-AriaNeural")
+            st.session_state['speech_processed'] = True
+            md_file, audio_file = asyncio.run(save_chat_entry(st.session_state.username, val_stripped, voice))
+            if audio_file:
+                play_and_download_audio(audio_file)
+            st.rerun()
+
+    tab_main = st.radio("Action:", ["🎤 Chat & Voice", "🔍 ArXiv", "📚 PDF to Audio", "📜 PDF Output"], horizontal=True, key="tab_main")
+    st.checkbox("Search ArXiv", key="use_arxiv")
+    st.checkbox("ArXiv Audio", key="use_arxiv_audio")
+    st.checkbox("Autosend Chat", key="autosend")
+    st.checkbox("Autosearch ArXiv", key="autosearch")
+
+    if tab_main == "🎤 Chat & Voice":
+        st.subheader(f"{START_ROOM} Chat 💬")
+        chat_content = asyncio.run(load_chat())
+        chat_container = st.container()
+        with chat_container:
+            numbered_content = "\n".join(f"{i+1}. {line}" for i, line in enumerate(chat_content))
+            st.code(numbered_content, language="python")
+
+        message = st.text_input(f"Message as {st.session_state.username}", key="message_input")
+        
+        col_paste, col_upload = st.columns(2)
+        with col_paste:
+            pasted_image, img_type = paste_image_component()
+        with col_upload:
+            uploaded_files = st.file_uploader("Upload Files", accept_multiple_files=True, type=["mp3", "png", "mp4", "md"], key="file_upload")
+        
+        if pasted_image is not None:
+            if st.session_state['paste_image_base64'] != base64.b64encode(pasted_image.tobytes()).decode('utf-8'):
+                st.session_state['paste_image_base64'] = base64.b64encode(pasted_image.tobytes()).decode('utf-8')
+                voice = FUN_USERNAMES.get(st.session_state.username, "en-USA-AriaNeural")
+                image_prompt = st.text_input("Add a prompt for Claude (e.g., 'OCR this image')", key="image_prompt", value="")
+                with st.spinner("Saving image..."):
+                    filename = asyncio.run(save_pasted_image(pasted_image, st.session_state.username, image_prompt))
+                if filename:
+                    st.success(f"Image saved as: {filename}")
+                    if image_prompt:
+                        with st.spinner("Processing with Claude..."):
+                            md_file_claude, audio_file_claude, claude_result = asyncio.run(
+                                perform_claude_search(image_prompt, st.session_state.username, pasted_image)
+                            )
+                            if audio_file_claude:
+                                play_and_download_audio(audio_file_claude)
+                            if claude_result:
+                                with st.spinner("Searching ArXiv..."):
+                                    md_file_arxiv, audio_file_arxiv = asyncio.run(
+                                        perform_arxiv_search(image_prompt, st.session_state.username, claude_result)
+                                    )
+                                    if audio_file_arxiv:
+                                        play_and_download_audio(audio_file_arxiv)
+                    st.session_state.pasted_image_data = None
+                    st.session_state['paste_image_base64'] = ""
+                    st.session_state.timer_start = time.time()
+                    save_username(st.session_state.username)
+                    st.rerun()
+
+        if uploaded_files:
+            for uploaded_file in uploaded_files:
+                file_type = uploaded_file.name.split('.')[-1].lower()
+                if file_type in ["mp3", "png", "mp4", "md"]:
+                    timestamp = format_timestamp_prefix(st.session_state.username)
+                    filename = f"{timestamp}-{clean_text_for_filename(uploaded_file.name)}"
+                    with open(filename, "wb") as f:
+                        f.write(uploaded_file.getbuffer())
+                    st.success(f"Uploaded {file_type.upper()} as: {filename}")
+                    if file_type == "png":
+                        img = Image.open(filename)
+                        st.image(img, caption=f"Uploaded Image: {filename}", use_column_width=True)
+                    elif file_type == "mp3":
+                        st.audio(filename)
+                    elif file_type == "mp4":
+                        st.video(filename)
+                    elif file_type == "md":
+                        with open(filename, 'r', encoding='utf-8') as f:
+                            st.markdown(f.read())
+                    asyncio.run(save_chat_entry(st.session_state.username, f"Uploaded {file_type.upper()}: {filename}", FUN_USERNAMES.get(st.session_state.username, "en-US-AriaNeural")))
+            st.session_state.timer_start = time.time()
+            save_username(st.session_state.username)
+            st.rerun()
+
+        if (message and message != st.session_state.last_message) or (st.session_state.pasted_image_data and not st.session_state['paste_image_base64']):
+            st.session_state.last_message = message
+            col_send, col_claude, col_arxiv = st.columns([1, 1, 1])
+            
+            with col_send:
+                if st.session_state.autosend or st.button("Send 🚀", key="send_button"):
+                    voice = FUN_USERNAMES.get(st.session_state.username, "en-US-AriaNeural")
+                    if message.strip():
+                        md_file, audio_file = asyncio.run(save_chat_entry(st.session_state.username, message, voice, True))
+                        if audio_file:
+                            play_and_download_audio(audio_file)
+                    if st.session_state.pasted_image_data:
+                        asyncio.run(save_chat_entry(st.session_state.username, f"Pasted image: {st.session_state.pasted_image_data}", voice))
+                        st.session_state.pasted_image_data = None
+                    st.session_state.timer_start = time.time()
+                    save_username(st.session_state.username)
+                    st.rerun()
+
+            with col_claude:
+                if st.button("🧠 Claude", key="claude_button"):
+                    voice = FUN_USERNAMES.get(st.session_state.username, "en-US-AriaNeural")
+                    if message.strip():
+                        md_file, audio_file, _ = asyncio.run(perform_claude_search(message, st.session_state.username))
+                        if audio_file:
+                            play_and_download_audio(audio_file)
+                        st.session_state.timer_start = time.time()
+                        save_username(st.session_state.username)
+                        st.rerun()
+
+            with col_arxiv:
+                if st.button("🔍 ArXiv", key="arxiv_button"):
+                    voice = FUN_USERNAMES.get(st.session_state.username, "en-US-AriaNeural")
+                    if message.strip():
+                        md_file, audio_file = asyncio.run(perform_arxiv_search(message, st.session_state.username))
+                        if audio_file:
+                            play_and_download_audio(audio_file)
+                        st.session_state.timer_start = time.time()
+                        save_username(st.session_state.username)
+                        st.rerun()
+
+    elif tab_main == "🔍 ArXiv":
+        st.subheader("🔍 Query ArXiv")
+        q = st.text_input("🔍 Query:", key="arxiv_query")
+        if q and q != st.session_state.last_query:
+            st.session_state.last_query = q
+            if st.session_state.autosearch or st.button("🔍 Run", key="arxiv_run"):
+                result, papers = asyncio.run(perform_ai_lookup(q, useArxiv=st.session_state['use_arxiv'], useArxivAudio=st.session_state['use_arxiv_audio']))
+                st.markdown(f"### Query: {q}")
+                for i, p in enumerate(papers, 1):
+                    expander_label = f"{p['title']} | [arXiv Link]({p['url']})"
+                    with st.expander(expander_label):
+                        with open(p['md_file'], 'r', encoding='utf-8') as f:
+                            content = f.read()
+                        numbered_content = "\n".join(f"{j+1}. {line}" for j, line in enumerate(content.split('\n')))
+                        st.code(numbered_content, language="python")
+
+    elif tab_main == "📚 PDF to Audio":
+        audio_processor = AudioProcessor()
+        pdf_file = st.file_uploader("Choose PDF", "pdf", key="pdf_upload")
+        max_pages W = st.slider('Pages', 1, 100, 10, key="pdf_pages")
+        if pdf_file:
+            with st.spinner('Processing...'):
+                texts, audios, total = process_pdf(pdf_file, max_pages, st.session_state['tts_voice'], audio_processor)
+                for i, text in enumerate(texts):
+                    with st.expander(f"Page {i+1}"):
+                        st.markdown(text)
+                        while i not in audios:
+                            time.sleep(0.1)
+                        if audios.get(i):
+                            st.audio(audios[i])
+                            st.markdown(get_download_link(audios[i], "mp3"), unsafe_allow_html=True)
+                            voice = FUN_USERNAMES.get(st.session_state.username, "en-US-AriaNeural")
+                            asyncio.run(save_chat_entry(st.session_state.username, f"PDF Page {i+1} converted to audio: {audios[i]}", voice))
+
+    elif tab_main == "📜 PDF Output":
+        create_pdf_tab(default_markdown)
+
+    st.header("📸 Media Gallery")
+    all_files = sorted(glob.glob("*.md") + glob.glob("*.mp3") + glob.glob("*.png") + glob.glob("*.mp4"), key=os.path.getmtime)
+    md_files = [f for f in all_files if f.endswith('.md') and os.path.basename(f) != "README.md"]
+    mp3_files = [f for f in all_files if f.endswith('.mp3')]
+    png_files = [f for f in all_files if f.endswith('.png')]
+    mp4_files = [f for f in all_files if f.endswith('.mp4')]
+
+    st.subheader("All Submitted Text")
+    all_md_content = concatenate_markdown_files()
+    with st.expander("View All Markdown Content"):
+        st.markdown(all_md_content)
+
+    st.subheader("🎵 Audio (MP3)")
+    for filename, (num, mp3) in sorted(st.session_state['mp3_files'].items(), key=lambda x: x[1][0]):
+        with st.expander(f"{num}. {os.path.basename(mp3)}"):
+            st.audio(mp3)
+            st.markdown(get_download_link(mp3, "mp3"), unsafe_allow_html=True)
+
+    st.subheader("🖼️ Images (PNG)")
+    for png in sorted(png_files, key=os.path.getmtime):
+        with st.expander(os.path.basename(png)):
+            st.image(png, use_container_width=True)
+            st.markdown(get_download_link(png, "png"), unsafe_allow_html=True)
+
+    st.subheader("🎥 Videos (MP4)")
+    for mp4 in sorted(mp4_files, key=os.path.getmtime):
+        with st.expander(os.path.basename(mp4)):
+            st.video(mp4)
+            st.markdown(get_download_link(mp4, "mp4"), unsafe_allow_html=True)
+
+    st.sidebar.subheader("Voice Settings")
+    new_username = st.sidebar.selectbox("Change Name/Voice", list(FUN_USERNAMES.keys()), index=list(FUN_USERNAMES.keys()).index(st.session_state.username), key="username_select")
+    if new_username != st.session_state.username:
+        asyncio.run(save_chat_entry("System 🌟", f"{st.session_state.username} changed to {new_username}", "en-US-AriaNeural"))
+        st.session_state.username, st.session_state.tts_voice = new_username, FUN_USERNAMES[new_username]
+        st.session_state.timer_start = time.time()
+        save_username(st.session_state.username)
+        st.rerun()
+
+    st.sidebar.markdown("### 💬 Chat Dialog")
+    chat_content = asyncio.run(load_chat())
+    with st.sidebar.expander("Chat History"):
+        numbered_content = "\n".join(f"{i+1}. {line}" for i, line in enumerate(chat_content))
+        st.code(numbered_content, language="python")
+
+    st.sidebar.markdown("### 💬 Chat Text Only")
+    chat_text_only = get_chat_text_only()
+    with st.sidebar.expander("Text Only History"):
+        numbered_text = "\n".join(f"{i+1}. {line}" for i, line in enumerate(chat_text_only.split('\n')))
+        st.code(numbered_text, language="python")
+
+    st.sidebar.subheader("Vote Totals")
+    chat_votes = load_votes(QUOTE_VOTES_FILE)
+    image_votes = load_votes(IMAGE_VOTES_FILE)
+    for item, count in chat_votes.items():
+        st.sidebar.write(f"{item}: {count} votes")
+    for image, count in image_votes.items():
+        st.sidebar.write(f"{image}: {count} votes")
+
+    st.sidebar.markdown("### 📂 File History")
+    for f in all_files[:10]:
+        st.sidebar.write(f"{FILE_EMOJIS.get(f.split('.')[-1], '📄')} {os.path.basename(f)}")
+
+    st.sidebar.subheader("📦 Zip & Delete")
+    col_zip, col_del = st.sidebar.columns(2)
+    with col_zip:
+        if st.button("⬇️ Zip All", key="zip_all"):
+            zip_name = create_zip_of_files(all_files, "All")
+            if zip_name:
+                st.session_state['download_link_cache'] = {}
+        if st.button("⬇️ Zip All MD", key="zip_md"):
+            zip_name = create_zip_of_files(md_files, "MD")
+            if zip_name:
+                st.session_state['download_link_cache'] = {}
+        if st.button("⬇️ Zip All MP3", key="zip_mp3"):
+            zip_name = create_zip_of_files(mp3_files, "MP3")
+            if zip_name:
+                st.session_state['download_link_cache'] = {}
+        if st.button("⬇️ Zip All PNG", key="zip_png"):
+            zip_name = create_zip_of_files(png_files, "PNG")
+            if zip_name:
+                st.session_state['download_link_cache'] = {}
+        if st.button("⬇️ Zip All MP4", key="zip_mp4"):
+            zip_name = create_zip_of_files(mp4_files, "MP4")
+            if zip_name:
+                st.session_state['download_link_cache'] = {}
+    with col_del:
+        if st.button("🗑️ Del All", key="del_all"):
+            for ft in ["md", "mp3", "png", "mp4"]:
+                delete_files(ft)
+            st.rerun()
+        if st.button("🗑️ Del All MD", key="del_md"):
+            delete_files("md")
+            st.rerun()
+        if st.button("🗑️ Del All MP3", key="del_mp3"):
+            delete_files("mp3")
+            st.rerun()
+        if st.button("🗑️ Del All PNG", key="del_png"):
+            delete_files("png")
+            st.rerun()
+        if st.button("🗑️ Del All MP4", key="del_mp4"):
+            delete_files("mp4")
+            st.rerun()
+        if st.button("🗑️ Del All Zip", key="del_zip"):
+            delete_files("zip", exclude_files=[])
+            st.rerun()
+
+    zip_files = sorted(glob.glob("*.zip"), key=os.path.getmtime, reverse=True)
+    for zip_file in zip_files:
+        st.sidebar.markdown(get_download_link(zip_file, "zip"), unsafe_allow_html=True)
+
+    st.sidebar.subheader("Set Refresh Rate ⏳")
+    st.session_state['auto_refresh'] = st.sidebar.radio("Auto Refresh", ["On", "Off"], index=0 if st.session_state['auto_refresh'] else 1) == "On"
+    st.markdown("""
+        <style>
+        .timer {
+            font-size: 24px;
+            color: #ffcc00;
+            text-align: center;
+            animation: pulse 1s infinite;
+        }
+        @keyframes pulse {
+            0% { transform: scale(1); }
+            50% { transform: scale(1.1); }
+            100% { transform: scale(1); }
+        }
+        </style>
+    """, unsafe_allow_html=True)
+
+    refresh_rate = st.sidebar.slider("Refresh Rate (seconds)", min_value=1, max_value=300, value=st.session_state.refresh_rate, step=1)
+    if refresh_rate != st.session_state.refresh_rate:
+        st.session_state.refresh_rate = refresh_rate
+        st.session_state.timer_start = time.time()
+        save_username(st.session_state.username)
+
+    col1, col2, col3 = st.sidebar.columns(3)
+    with col1:
+        if st.button("🐇 Small (1s)"):
+            st.session_state.refresh_rate = 1
+            st.session_state.timer_start = time.time()
+            save_username(st.session_state.username)
+    with col2:
+        if st.button("🐢 Medium (10s)"):
+            st.session_state.refresh_rate = 10
+            st.session_state.timer_start = time.time()
+            save_username(st.session_state.username)
+    with col3:
+        if st.button("🐘 Large (5m)"):
+            st.session_state.refresh_rate = 300
+            st.session_state.timer_start = time.time()
+            save_username(st.session_state.username)
+
+    timer_placeholder = st.sidebar.empty()
+    def update_timer():
+        start_time = st.session_state.timer_start
+        remaining_time = max(0, int(st.session_state.refresh_rate - (time.time() - start_time)))
+        timer_placeholder.markdown(f"<p class='timer'>⏳ Next refresh in: {remaining_time} seconds</p>", unsafe_allow_html=True)
+        if st.session_state['auto_refresh'] and remaining_time <= 0:
+            st.session_state.timer_start = time.time()
+            st.session_state.last_refresh = time.time()
+            st.rerun()
+
+    threading.Thread(target=lambda: [time.sleep(1) or update_timer() for _ in range(int(st.session_state.refresh_rate)+1)], daemon=True).start()
+    update_timer()
+
+    if not st.session_state.get('server_running', False) and not st.session_state.get('server_task', None):
+        st.session_state.server_task = threading.Thread(target=start_websocket_server, daemon=True)
+        st.session_state.server_task.start()
+
+default_markdown = """# Deities Guide: Mythology and Moral Lessons 🌟✨
+
+1. 📜 **Introduction**  
+   - **Purpose**: Explore deities, spirits, saints, and beings with their epic stories and morals! 🌍📖  
+   - **Usage**: A guide for learning and storytelling across traditions. 🎭✍️  
+   - **Themes**: Justice ⚖️, faith 🙏, hubris 😤, redemption 🌈, cosmic order 🌌.
+
+2. 🛠️ **Core Concepts of Divinity**  
+   - **Powers**: Creation 🌍, omniscience 👁️‍🗨️, shapeshifting 🦋 across entities.  
+   - **Life Cycle**: Mortality 💀, immortality ✨, transitions like saints and avatars 🌟.  
+   - **Communication**: Omens 🌩️, visions 👁️, miracles ✨ from gods and spirits.
+
+3. ⚡ **Standard Abilities**  
+   - **Creation**: Gods and spirits shape worlds, e.g., Allah 🌍 and Vishnu 🌀.  
+   - **Influence**: Saints and prophets intercede, like Muhammad 🕌 and Paul ✝️.  
+   - **Transformation**: Angels and avatars shift forms, e.g., Gabriel 😇 and Krishna 🦚.  
+   - **Knowledge**: Foresight 🔮 or revelation 📜, as with the Holy Spirit 🕊️ and Brahma 🧠.  
+   - **Judgment**: Divine authority 👑, e.g., Yahweh ⚖️ and Yama 💀.
+
+4. ⏳ **Mortality and Immortality**  
+   - **Gods**: Eternal ⏰, like Allah 🌟 and Shiva 🕉️.  
+   - **Spirits**: Realm-bound 🌠, e.g., jinn 🔥 and devas ✨.  
+   - **Saints/Prophets**: Mortal to divine 🌍➡️🌌, e.g., Moses 📜 and Rama 🏹.  
+   - **Beings**: Limbo states ❓, like cherubim 😇 and rakshasas 👹.  
+   - **Lessons**: Faith 🙏 and duty ⚙️ define transitions.
+
+5. 🌠 **Ascension and Signs**  
+   - **Paths**: Birth 👶, deeds 🛡️, revelation 📖, as with Jesus ✝️ and Arjuna 🏹.  
+   - **Signs**: Miracles ✨ and prophecies 🔮, like those in the Quran 📘 and Gita 📚.  
+   - **Morals**: Obedience 🧎 and devotion ❤️ shape destiny 🌟.
+
+6. 🎲 **Storytelling and Games**  
+   - **Portrayal**: Gods, spirits, and saints in narratives or RPGs 🎮📜.  
+   - **Dynamics**: Clerics ⛪, imams 🕌, and sadhus 🧘 serve higher powers.  
+   - **Balance**: Power 💪 vs. personality 😊 for depth.
+
+7. 🎮 **Dungeon Mastering Beings**  
+   - **Gods**: Epic scope 🌌, e.g., Allah ✨ and Vishnu 🌀.  
+   - **Spirits**: Local influence 🏞️, like jinn 🔥 and apsaras 💃.  
+   - **Saints**: Moral anchors ⚓, e.g., St. Francis 🐾 and Ali ⚔️.
+
+8. 🙏 **Devotee Relationships**  
+   - **Clerics**: Serve gods, e.g., Krishna’s priests 🦚.  
+   - **Mediums**: Channel spirits, like jinn whisperers 🔥👁️.  
+   - **Faithful**: Venerate saints and prophets, e.g., Fatima’s followers 🌹.
+
+9. 🦅 **American Indian Traditions**  
+   - **Coyote, Raven, White Buffalo Woman**: Trickster kin 🦊🐦 and wise mother 🐃.  
+   - **Relation**: Siblings and guide teach balance ⚖️.  
+   - **Lesson**: Chaos 🌪️ breeds wisdom 🧠.
+
+10. ⚔️ **Arthurian Legends**  
+    - **Merlin, Morgan le Fay, Arthur**: Mentor 🧙, rival 🧙‍♀️, son 👑.  
+    - **Relation**: Family tests loyalty 🤝.  
+    - **Lesson**: Honor 🛡️ vs. betrayal 🗡️.
+
+11. 🏛️ **Babylonian Mythology**  
+    - **Marduk, Tiamat, Ishtar**: Son ⚔️, mother 🌊, lover ❤️.  
+    - **Relation**: Kinship drives order 🏰.  
+    - **Lesson**: Power 💪 reshapes chaos 🌪️.
+
+12. ✝️ **Christian Trinity**  
+    - **God (Yahweh), Jesus, Holy Spirit**: Father 👑, Son ✝️, Spirit 🕊️.  
+    - **Relation**: Divine family redeems 🌈.  
+    - **Lesson**: Faith 🙏 restores grace ✨.
+
+13. 😇 **Christian Saints & Angels**  
+    - **St. Michael, Gabriel, Mary**: Warrior ⚔️, messenger 📜, mother 🌹.  
+    - **Relation**: Heavenly kin serve God 👑.  
+    - **Lesson**: Duty ⚙️ upholds divine will 🌟.
+
+14. 🍀 **Celtic Mythology**  
+    - **Lugh, Morrigan, Cernunnos**: Son ☀️, mother 🦇, father 🦌.  
+    - **Relation**: Family governs cycles 🌍.  
+    - **Lesson**: Courage 💪 in fate 🎲.
+
+15. 🌄 **Central American Traditions**  
+    - **Quetzalcoatl, Tezcatlipoca, Huitzilopochtli**: Brothers 🐍🐆 and war son ⚔️.  
+    - **Relation**: Sibling rivalry creates 🌍.  
+    - **Lesson**: Sacrifice 🩸 builds worlds 🏰.
+
+16. 🐉 **Chinese Mythology**  
+    - **Jade Emperor, Nuwa, Sun Wukong**: Father 👑, mother 🐍, rebel son 🐒.  
+    - **Relation**: Family enforces harmony 🎶.  
+    - **Lesson**: Duty ⚙️ curbs chaos 🌪️.
+
+17. 🐙 **Cthulhu Mythos**  
+    - **Cthulhu, Nyarlathotep, Yog-Sothoth**: Elder kin 🐙👁️‍🗨️🌌.  
+    - **Relation**: Cosmic trio overwhelms 😱.  
+    - **Lesson**: Insignificance 🌌 humbles 🙇.
+
+18. ☥ **Egyptian Mythology**  
+    - **Ra, Osiris, Isis**: Father ☀️, son ⚰️, mother 🌟.  
+    - **Relation**: Family ensures renewal 🔄.  
+    - **Lesson**: Justice ⚖️ prevails.
+
+19. ❄️ **Finnish Mythology**  
+    - **Väinämöinen, Louhi, Ukko**: Son 🎶, mother ❄️, father ⚡.  
+    - **Relation**: Kinship tests wisdom 🧠.  
+    - **Lesson**: Perseverance 🏋️ wins.
+
+20. 🏛️ **Greek Mythology**  
+    - **Zeus, Hera, Athena**: Father ⚡, mother 👑, daughter 🦇.  
+    - **Relation**: Family rules with tension ⚔️.  
+    - **Lesson**: Hubris 😤 meets wisdom 🧠.
+
+21. 🕉️ **Hindu Trimurti**  
+    - **Brahma, Vishnu, Shiva**: Creator 🌀, preserver 🛡️, destroyer 🔥.  
+    - **Relation**: Divine trio cycles existence 🔄.  
+    - **Lesson**: Balance ⚖️ sustains life 🌍.
+
+22. 🌺 **Hindu Avatars & Devis**  
+    - **Krishna, Rama, Durga**: Sons 🦚🏹 and fierce mother 🗡️.  
+    - **Relation**: Avatars and goddess protect dharma ⚖️.  
+    - **Lesson**: Duty ⚙️ defeats evil 👹.
+
+23. 🌸 **Japanese Mythology**  
+    - **Amaterasu, Susanoo, Tsukuyomi**: Sister ☀️, brothers 🌊🌙.  
+    - **Relation**: Siblings balance cosmos 🌌.  
+    - **Lesson**: Harmony 🎶 vs. chaos 🌪️.
+
+24. 🗡️ **Melnibonean Legends**  
+    - **Arioch, Xiombarg, Elric**: Lords 👑 and mortal son ⚔️.  
+    - **Relation**: Pact binds chaos 🌪️.  
+    - **Lesson**: Power 💪 corrupts 😈.
+
+25. ☪️ **Muslim Divine & Messengers**  
+    - **Allah, Muhammad, Gabriel**: God 🌟, prophet 🕌, angel 😇.  
+    - **Relation**: Messenger reveals divine will 📜.  
+    - **Lesson**: Submission 🙇 brings peace ☮️.
+
+26. 👻 **Muslim Spirits & Kin**  
+    - **Jinn, Iblis, Khidr**: Spirits 🔥😈 and guide 🌿 defy or aid.  
+    - **Relation**: Supernatural kin test faith 🙏.  
+    - **Lesson**: Obedience 🧎 vs. rebellion 😡.
+
+27. 🏰 **Nehwon Legends**  
+    - **Death, Ningauble, Sheelba**: Fateful trio 💀👁️‍🗨️🌿.  
+    - **Relation**: Guides shape destiny 🎲.  
+    - **Lesson**: Cunning 🧠 defies fate ⚰️.
+
+28. 🧝 **Nonhuman Traditions**  
+    - **Corellon, Moradin, Gruumsh**: Elf 🧝, dwarf ⛏️, orc 🗡️ fathers.  
+    - **Relation**: Rivals define purpose ⚔️.  
+    - **Lesson**: Community 🤝 endures.
+
+29. ᚱ **Norse Mythology**  
+    - **Odin, Frigg, Loki**: Father 👁️, mother 👑, trickster son 🦊.  
+    - **Relation**: Family faces doom ⚡.  
+    - **Lesson**: Sacrifice 🩸 costs.
+
+30. 🗿 **Sumerian Mythology**  
+    - **Enki, Inanna, Anu**: Son 🌊, daughter ❤️, father 🌌.  
+    - **Relation**: Kin wield knowledge 🧠.  
+    - **Lesson**: Ambition 🌟 shapes.
+
+31. 📚 **Appendices**  
+    - **Planes**: Realms of gods, spirits, saints, e.g., Paradise 🌈 and Svarga ✨.  
+    - **Symbols**: Rituals 🕉️ and artifacts 🗿 of faith.  
+    - **Charts**: Domains and duties for devotees 📊.
+
+32. 🌌 **Planes of Existence**  
+    - **Heaven/Paradise**: Christian/Muslim abode 🌟.  
+    - **Svarga**: Hindu divine realm ✨.  
+    - **Underworld**: Spirits linger, e.g., Sheol ⚰️ and Naraka 🔥.
+
+33. 🕍 **Temple Trappings**  
+    - **Cross/Crescent**: Christian/Muslim faith ✝️☪️.  
+    - **Mandalas**: Hindu devotion 🌀.  
+    - **Relics**: Saints’ and prophets’ legacy 🗝️.
+
+34. 📊 **Clerical Chart**  
+    - **Gods**: Domains, e.g., creation 🌍 and mercy ❤️.  
+    - **Spirits**: Influence, like guidance 🌿 and mischief 😈.  
+    - **Saints/Prophets**: Virtues, e.g., justice ⚖️ and prophecy 🔮.
+"""
 
-with st.sidebar:
-    st.download_button(label="Download PDF", data=pdf_bytes, file_name="output.pdf", mime="application/pdf")
+if __name__ == "__main__":
+    main()