Create app.py

app.py

@@ -0,0 +1,671 @@
+import streamlit as st
+import asyncio
+import websockets
+import uuid
+from datetime import datetime
+import os
+import random
+import time
+import hashlib
+from PIL import Image
+import glob
+import base64
+import io
+import streamlit.components.v1 as components
+import edge_tts
+from audio_recorder_streamlit import audio_recorder
+import nest_asyncio
+import re
+from streamlit_paste_button import paste_image_button
+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
+
+# 🛠️ Patch asyncio for nesting
+nest_asyncio.apply()
+
+# 🎨 Page Config
+st.set_page_config(
+    page_title="🚲TalkingAIResearcher🏆",
+    page_icon="🚲🏆",
+    layout="wide",
+    initial_sidebar_state="auto"
+)
+
+# 🌟 Static Config
+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": "🎥"}
+
+# 📁 Directories (Media at Root)
+for d in ["chat_logs", "vote_logs", "audio_logs", "history_logs", "audio_cache"]:
+    os.makedirs(d, exist_ok=True)
+
+CHAT_DIR = "chat_logs"
+VOTE_DIR = "vote_logs"
+MEDIA_DIR = "."  # Root directory
+AUDIO_CACHE_DIR = "audio_cache"
+AUDIO_DIR = "audio_logs"
+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")
+
+# 🔑 API Keys
+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)
+
+# 🕒 Timestamp Helper
+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}"
+
+# 📈 Performance Timer
+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)
+
+# 🎛️ Session State Init
+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': 5, '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"
+    }
+    for k, v in defaults.items():
+        if k not in st.session_state: st.session_state[k] = v
+
+# 🖌️ Marquee Helpers
+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("")
+
+# 📝 Text & File Helpers
+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())[:200]
+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"):
+    timestamp = format_timestamp_prefix(username)
+    hash_val = hashlib.md5(prompt.encode()).hexdigest()[:8]
+    return f"{timestamp}-{hash_val}.{file_type}"
+
+def create_file(prompt, username, file_type="md"):
+    filename = generate_filename(prompt, username, file_type)
+    with open(filename, 'w', encoding='utf-8') as f: f.write(prompt)
+    return filename
+
+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"}
+        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:
+        with open(STATE_FILE, 'w') as f:
+            f.write(username)
+    except Exception as e:
+        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():
+    md_files = sorted(glob.glob("*.md"), key=os.path.getmtime, reverse=True)
+    all_md_content = ""
+    for md_file in md_files:
+        with open(md_file, 'r', encoding='utf-8') as f:
+            all_md_content += f.read() + "\n\n---\n\n"
+    return all_md_content.strip()
+
+# 🎶 Audio Processing
+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: return None, 0
+    filename = f"{format_timestamp_prefix(username)}-{hashlib.md5(text.encode()).hexdigest()[:8]}.{file_format}"
+    communicate = edge_tts.Communicate(text, voice, rate=f"{rate:+d}%", pitch=f"{pitch:+d}Hz")
+    await communicate.save(filename)
+    st.session_state['audio_cache'][cache_key] = filename
+    return filename, time.time() - start_time
+
+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)
+
+def load_mp3_viewer():
+    mp3_files = sorted(glob.glob(f"*.mp3"), key=os.path.getmtime, reverse=True)
+    for mp3 in mp3_files:
+        filename = os.path.basename(mp3)
+        if filename not in st.session_state['mp3_files']:
+            st.session_state['mp3_files'][filename] = mp3
+
+async def save_chat_entry(username, message, is_markdown=False):
+    central = pytz.timezone('US/Central')
+    timestamp = datetime.now(central).strftime("%Y-%m-%d %H:%M:%S")
+    entry = f"[{timestamp}] {username}: {message}" if not is_markdown else f"[{timestamp}] {username}:\n```markdown\n{message}\n```"
+    with open(CHAT_FILE, 'a') as f: f.write(f"{entry}\n")
+    voice = FUN_USERNAMES.get(username, "en-US-AriaNeural")
+    audio_file, _ = 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)] = audio_file
+    await broadcast_message(f"{username}|{message}", "chat")
+    st.session_state.last_chat_update = time.time()
+    st.session_state.chat_history.append(entry)
+    return 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')
+    numbered_content = "\n".join(f"{i+1}. {line}" for i, line in enumerate(lines) if line.strip())
+    return numbered_content
+
+# 🌐 WebSocket Handling
+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.split('\n')):
+        await save_chat_entry("System 🌟", f"{username} has joined {START_ROOM}!")
+    try:
+        async for message in websocket:
+            if '|' in message:
+                username, content = message.split('|', 1)
+                await save_chat_entry(username, content)
+            else:
+                await websocket.send("ERROR|Message format: username|content")
+    except websockets.ConnectionClosed:
+        await save_chat_entry("System 🌟", f"{username} has left {START_ROOM}!")
+    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.server_running:
+        server = await websockets.serve(websocket_handler, '0.0.0.0', 8765)
+        st.session_state.server_running = True
+        await server.wait_closed()
+
+# 📚 PDF to Audio
+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
+
+# 🔍 ArXiv & AI Lookup
+def parse_arxiv_refs(ref_text):
+    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': ''}
+        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}["{t}"] --> 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}
+---
+"""
+
+def create_detailed_paper_md(papers): return "# Detailed Summary\n" + "\n".join(generate_5min_feature_markdown(p) for p in papers)
+
+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'])
+
+async def perform_ai_lookup(q, useArxiv=True, useArxivAudio=False):
+    client = anthropic.Anthropic(api_key=anthropic_key)
+    response = client.messages.create(model="claude-3-sonnet-20240229", max_tokens=1000, messages=[{"role": "user", "content": q}])
+    result = response.content[0].text
+    st.markdown("### Claude's Reply 🧠\n" + result)
+    md_file = create_file(result, "System", "md")
+    audio_file, _ = await async_edge_tts_generate(result, st.session_state['tts_voice'], "System")
+    play_and_download_audio(audio_file)
+
+    if useArxiv:
+        q += result
+        gradio_client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
+        refs = gradio_client.predict(q, 10, "Semantic Search", "mistralai/Mixtral-8x7B-Instruct-v0.1", api_name="/update_with_rag_md")[0]
+        result = f"🔎 {q}\n\n{refs}"
+        md_file, audio_file = create_file(result, "System", "md"), (await async_edge_tts_generate(result, st.session_state['tts_voice'], "System"))[0]
+        play_and_download_audio(audio_file)
+        papers = parse_arxiv_refs(refs)
+        if papers and useArxivAudio: await create_paper_audio_files(papers, q)
+        return result, papers
+    return result, []
+
+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:]:  # Skip header
+            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):
+    img_hash = hashlib.md5(image.tobytes()).hexdigest()[:8]
+    if img_hash in st.session_state.image_hashes:
+        return None
+    timestamp = format_timestamp_prefix(username)
+    filename = f"{timestamp}-{img_hash}.png"
+    filepath = filename  # Save at root
+    image.save(filepath, "PNG")
+    st.session_state.image_hashes.add(img_hash)
+    return filepath
+
+# 📦 Zip Files
+def create_zip_of_files(md_files, mp3_files, png_files, mp4_files, query):
+    all_files = md_files + mp3_files + png_files + mp4_files
+    if not all_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 all_files] + [query]), 5)
+    zip_name = f"{format_timestamp_prefix()}_{'-'.join(terms)[:20]}.zip"
+    with zipfile.ZipFile(zip_name, 'w') as z: [z.write(f) for f in all_files]
+    return zip_name
+
+# 🎮 Main Interface
+async def async_interface():
+    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 (await load_chat()).split('\n'))]
+        st.session_state.username = random.choice(available or list(FUN_USERNAMES.keys()))
+        st.session_state.tts_voice = FUN_USERNAMES[st.session_state.username]
+        await save_chat_entry("System 🌟", f"{st.session_state.username} has joined {START_ROOM}!")
+    save_username(st.session_state.username)
+
+    st.title(f"{Site_Name} for {st.session_state.username}")
+    update_marquee_settings_ui()
+    display_marquee(f"🚀 Welcome to {START_ROOM} | 🤖 {st.session_state.username}", st.session_state['marquee_settings'], "welcome")
+
+    if not st.session_state.server_task:
+        st.session_state.server_task = asyncio.create_task(run_websocket_server())
+
+    tab_main = st.radio("Action:", ["🎤 Chat & Voice", "📸 Media", "🔍 ArXiv", "📚 PDF to Audio"], horizontal=True)
+    useArxiv, useArxivAudio = st.checkbox("Search ArXiv", True), st.checkbox("ArXiv Audio", False)
+    st.session_state.autosend = st.checkbox("Autosend Chat", value=True)
+    st.session_state.autosearch = st.checkbox("Autosearch ArXiv", value=True)
+
+    # 🎤 Chat & Voice
+    if tab_main == "🎤 Chat & Voice":
+        st.subheader(f"{START_ROOM} Chat 💬")
+        chat_content = await load_chat()
+        chat_container = st.container()
+        with chat_container:
+            lines = chat_content.split('\n')
+            for i, line in enumerate(lines):
+                if line.strip():
+                    col1, col2 = st.columns([5, 1])
+                    with col1:
+                        st.markdown(line)
+                        for mp3_name, mp3_path in st.session_state['mp3_files'].items():
+                            if st.session_state.username in mp3_name and any(word in mp3_name for word in line.split()):
+                                st.audio(mp3_path)
+                                break
+                    with col2:
+                        if st.button(f"👍", key=f"chat_vote_{i}"):
+                            user_hash = generate_user_hash()
+                            save_vote(QUOTE_VOTES_FILE, line, user_hash)
+                            st.session_state.timer_start = time.time()
+                            save_username(st.session_state.username)
+                            st.rerun()
+        
+        message = st.text_input(f"Message as {st.session_state.username}", key="message_input")
+        paste_result = paste_image_button("📋 Paste Image or Text", key="paste_button_msg")
+        if paste_result.image_data is not None:
+            if isinstance(paste_result.image_data, str):
+                st.session_state.message_text = paste_result.image_data
+                message = st.text_input(f"Message as {st.session_state.username}", key="message_input_paste", value=st.session_state.message_text)
+            else:
+                st.image(paste_result.image_data, caption="Pasted Image")
+                filename = await save_pasted_image(paste_result.image_data, st.session_state.username)
+                if filename:
+                    st.session_state.pasted_image_data = filename
+        if (message and message != st.session_state.last_message) or st.session_state.pasted_image_data:
+            st.session_state.last_message = message
+            if st.session_state.autosend or st.button("Send 🚀"):
+                if message.strip():
+                    await save_chat_entry(st.session_state.username, message, True)
+                if st.session_state.pasted_image_data:
+                    await save_chat_entry(st.session_state.username, f"Pasted image: {st.session_state.pasted_image_data}")
+                    st.session_state.pasted_image_data = None
+                st.session_state.timer_start = time.time()
+                save_username(st.session_state.username)
+                st.rerun()
+
+        st.subheader("🎤 Speech-to-Chat")
+        from mycomponent import speech_component
+        transcript_data = speech_component(default_value=st.session_state.get('last_transcript', ''))
+        if transcript_data and 'value' in transcript_data:
+            transcript = transcript_data['value'].strip()
+            st.write(f"🎙️ You said: {transcript}")
+            if transcript and transcript != st.session_state.last_transcript:
+                st.session_state.last_transcript = transcript
+                if st.session_state.autosend:
+                    await save_chat_entry(st.session_state.username, transcript, True)
+                    st.session_state.timer_start = time.time()
+                    save_username(st.session_state.username)
+                    st.rerun()
+                elif st.button("Send to Chat"):
+                    await save_chat_entry(st.session_state.username, transcript, True)
+                    st.session_state.timer_start = time.time()
+                    save_username(st.session_state.username)
+                    st.rerun()
+
+    # 📸 Media
+    elif tab_main == "📸 Media":
+        st.header("📸 Media Gallery")
+        all_files = sorted(glob.glob("*.md") + glob.glob("*.mp3") + glob.glob("*.png") + glob.glob("*.mp4"), key=os.path.getmtime, reverse=True)
+        md_files = [f for f in all_files if f.endswith('.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')]
+
+        # Display concatenated Markdown
+        st.subheader("All Submitted Text")
+        all_md_content = concatenate_markdown_files()
+        st.markdown(all_md_content)
+
+        # Display Media by Type at End
+        st.subheader("🎵 Audio (MP3)")
+        for mp3 in mp3_files:
+            with st.expander(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 png_files:
+            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 mp4_files:
+            with st.expander(os.path.basename(mp4)):
+                st.video(mp4)
+                st.markdown(get_download_link(mp4, "mp4"), unsafe_allow_html=True)
+
+        uploaded_file = st.file_uploader("Upload Media", type=['png', 'mp4', 'mp3'])
+        if uploaded_file:
+            filename = f"{format_timestamp_prefix(st.session_state.username)}-{hashlib.md5(uploaded_file.getbuffer()).hexdigest()[:8]}.{uploaded_file.name.split('.')[-1]}"
+            with open(filename, 'wb') as f:  # Save at root
+                f.write(uploaded_file.getbuffer())
+            await save_chat_entry(st.session_state.username, f"Uploaded: {filename}")
+            st.session_state.timer_start = time.time()
+            save_username(st.session_state.username)
+            st.rerun()
+
+    # 🔍 ArXiv
+    elif tab_main == "🔍 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"):
+                result, papers = await perform_ai_lookup(q, useArxiv, useArxivAudio)
+                for i, p in enumerate(papers, 1):
+                    with st.expander(f"{i}. 📄 {p['title']}"):
+                        st.markdown(f"**{p['date']} | {p['title']}** — [Link]({p['url']})")
+                        st.markdown(generate_5min_feature_markdown(p))
+                        if p.get('full_audio'): play_and_download_audio(p['full_audio'])
+
+    # 📚 PDF to Audio
+    elif tab_main == "📚 PDF to Audio":
+        audio_processor = AudioProcessor()
+        pdf_file = st.file_uploader("Choose PDF", "pdf")
+        max_pages = st.slider('Pages', 1, 100, 10)
+        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)
+                            await save_chat_entry(st.session_state.username, f"PDF Page {i+1} converted to audio: {audios[i]}")
+
+    # 🗂️ Sidebar with Dialog and Audio
+    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))
+    if new_username != st.session_state.username:
+        await save_chat_entry("System 🌟", f"{st.session_state.username} changed to {new_username}")
+        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 & Media")
+    chat_content = await load_chat()
+    lines = chat_content.split('\n')
+    all_files = sorted(glob.glob("*.md") + glob.glob("*.mp3") + glob.glob("*.png") + glob.glob("*.mp4"), key=os.path.getmtime, reverse=True)
+    for line in lines[-10:]:
+        if line.strip():
+            st.sidebar.markdown(f"**{line}**")
+            for f in all_files:
+                f_name = os.path.basename(f)
+                if st.session_state.username in f_name and any(word in f_name for word in line.split()):
+                    if f.endswith('.mp3'):
+                        st.sidebar.audio(f)
+                        st.sidebar.markdown(get_download_link(f, "mp3"), unsafe_allow_html=True)
+                    elif f.endswith('.png'):
+                        st.sidebar.image(f, use_container_width=True)
+                        st.sidebar.markdown(get_download_link(f, "png"), unsafe_allow_html=True)
+                    elif f.endswith('.mp4'):
+                        st.sidebar.video(f)
+                        st.sidebar.markdown(get_download_link(f, "mp4"), unsafe_allow_html=True)
+                    break
+
+    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")
+
+    md_files = [f for f in all_files if f.endswith('.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.sidebar.markdown("### 📂 File History")
+    for f in all_files[:10]:
+        st.sidebar.write(f"{FILE_EMOJIS.get(f.split('.')[-1], '📄')} {os.path.basename(f)}")
+    if st.sidebar.button("⬇️ Zip All"):
+        zip_name = create_zip_of_files(md_files, mp3_files, png_files, mp4_files, "latest_query")
+        if zip_name: st.sidebar.markdown(get_download_link(zip_name, "zip"), unsafe_allow_html=True)
+
+def main():
+    asyncio.run(async_interface())
+
+if __name__ == "__main__":
+    main()