src/streamlit_app.py

import streamlit as st
import requests
import json
from typing import Dict, List, Optional, Tuple
import re
from urllib.parse import quote
import time
from datetime import datetime
import pandas as pd
from collections import Counter
import hashlib

st.set_page_config(
    page_title="WikiBot Pro - AI-Powered Multilingual Assistant",
    page_icon="🤖",
    layout="wide",
    initial_sidebar_state="expanded"
)

LANGUAGES = {
    "English": {"code": "en", "flag": "🇺🇸", "native": "English"},
    "Telugu": {"code": "te", "flag": "🇮🇳", "native": "తెలుగు"},
    "Hindi": {"code": "hi", "flag": "🇮🇳", "native": "हिन्दी"},
    "Spanish": {"code": "es", "flag": "🇪🇸", "native": "Español"},
    "French": {"code": "fr", "flag": "🇫🇷", "native": "Français"},
    "German": {"code": "de", "flag": "🇩🇪", "native": "Deutsch"},
    "Italian": {"code": "it", "flag": "🇮🇹", "native": "Italiano"},
    "Portuguese": {"code": "pt", "flag": "🇵🇹", "native": "Português"},
    "Russian": {"code": "ru", "flag": "🇷🇺", "native": "Русский"},
    "Japanese": {"code": "ja", "flag": "🇯🇵", "native": "日本語"},
    "Chinese": {"code": "zh", "flag": "🇨🇳", "native": "中文"},
    "Arabic": {"code": "ar", "flag": "🇸🇦", "native": "العربية"},
    "Korean": {"code": "ko", "flag": "🇰🇷", "native": "한국어"},
    "Tamil": {"code": "ta", "flag": "🇮🇳", "native": "தமிழ்"},
    "Bengali": {"code": "bn", "flag": "🇧🇩", "native": "বাংলা"},
    "Marathi": {"code": "mr", "flag": "🇮🇳", "native": "मराठी"},
    "Gujarati": {"code": "gu", "flag": "🇮🇳", "native": "ગુજરાતી"},
    "Kannada": {"code": "kn", "flag": "🇮🇳", "native": "ಕನ್ನಡ"},
    "Malayalam": {"code": "ml", "flag": "🇮🇳", "native": "മലയാളം"},
    "Punjabi": {"code": "pa", "flag": "🇮🇳", "native": "ਪੰਜਾਬੀ"}
}

THEMES = {
    "Default": {"primary": "#1f77b4", "background": "#ffffff", "text": "#000000"},
    "Dark": {"primary": "#00d4aa", "background": "#0e1117", "text": "#ffffff"},
    "Ocean": {"primary": "#0077be", "background": "#f0f8ff", "text": "#003366"},
    "Forest": {"primary": "#228b22", "background": "#f5fff5", "text": "#006400"},
    "Sunset": {"primary": "#ff6b35", "background": "#fff5f0", "text": "#8b0000"}
}

class WikipediaAPI:
    def __init__(self):
        self.base_url = "https://{}.wikipedia.org/api/rest_v1"
        self.search_url = "https://{}.wikipedia.org/w/api.php"
        self.cache = {}
    
    def _get_cache_key(self, *args) -> str:
        """Generate cache key from arguments"""
        key_string = "_".join(str(arg) for arg in args)
        return hashlib.md5(key_string.encode()).hexdigest()
    
    def search_articles(self, query: str, lang: str = "en", limit: int = 5) -> List[Dict]:
        """Search for Wikipedia articles with caching"""
        cache_key = self._get_cache_key("search", query, lang, limit)
        if cache_key in self.cache:
            return self.cache[cache_key]
        
        try:
            params = {
                "action": "query",
                "format": "json",
                "list": "search",
                "srsearch": query,
                "srlimit": limit,
                "srprop": "snippet|titlesnippet|size|wordcount|timestamp"
            }
            
            url = self.search_url.format(lang)
            response = requests.get(url, params=params, timeout=10)
            response.raise_for_status()
            
            data = response.json()
            results = data.get("query", {}).get("search", [])
            self.cache[cache_key] = results
            return results
        except Exception as e:
            st.error(f"Search error: {str(e)}")
            return []
    
    def get_page_summary(self, title: str, lang: str = "en") -> Optional[Dict]:
        """Get page summary using REST API with caching"""
        cache_key = self._get_cache_key("summary", title, lang)
        if cache_key in self.cache:
            return self.cache[cache_key]
        
        try:
            encoded_title = quote(title.replace(" ", "_"))
            url = f"{self.base_url.format(lang)}/page/summary/{encoded_title}"
            
            response = requests.get(url, timeout=10)
            response.raise_for_status()
            
            result = response.json()
            self.cache[cache_key] = result
            return result
        except Exception as e:
            st.error(f"Summary error: {str(e)}")
            return None
    
    def get_page_content(self, title: str, lang: str = "en", sections: int = 3) -> Optional[str]:
        """Get page content sections"""
        try:
            params = {
                "action": "query",
                "format": "json",
                "prop": "extracts",
                "exintro": True,
                "explaintext": True,
                "exsectionformat": "plain",
                "titles": title,
                "exchars": 3000
            }
            
            url = self.search_url.format(lang)
            response = requests.get(url, params=params, timeout=10)
            response.raise_for_status()
            
            data = response.json()
            pages = data.get("query", {}).get("pages", {})
            
            for page_id, page_data in pages.items():
                if "extract" in page_data:
                    return page_data["extract"]
            
            return None
        except Exception as e:
            st.error(f"Content error: {str(e)}")
            return None
    
    def get_random_article(self, lang: str = "en") -> Optional[Dict]:
        """Get a random Wikipedia article"""
        try:
            params = {
                "action": "query",
                "format": "json",
                "list": "random",
                "rnnamespace": 0,
                "rnlimit": 1
            }
            
            url = self.search_url.format(lang)
            response = requests.get(url, params=params, timeout=10)
            response.raise_for_status()
            
            data = response.json()
            random_pages = data.get("query", {}).get("random", [])
            
            if random_pages:
                title = random_pages[0]["title"]
                return self.get_page_summary(title, lang)
            
            return None
        except Exception as e:
            st.error(f"Random article error: {str(e)}")
            return None
    
    def get_page_categories(self, title: str, lang: str = "en") -> List[str]:
        """Get categories for a Wikipedia page"""
        try:
            params = {
                "action": "query",
                "format": "json",
                "prop": "categories",
                "titles": title,
                "cllimit": 10
            }
            
            url = self.search_url.format(lang)
            response = requests.get(url, params=params, timeout=10)
            response.raise_for_status()
            
            data = response.json()
            pages = data.get("query", {}).get("pages", {})
            
            for page_id, page_data in pages.items():
                if "categories" in page_data:
                    return [cat["title"].replace("Category:", "") for cat in page_data["categories"]]
            
            return []
        except Exception as e:
            return []

def init_session_state():
    """Initialize session state variables"""
    if 'search_history' not in st.session_state:
        st.session_state.search_history = []
    if 'favorites' not in st.session_state:
        st.session_state.favorites = []
    if 'theme' not in st.session_state:
        st.session_state.theme = "Default"
    if 'user_preferences' not in st.session_state:
        st.session_state.user_preferences = {
            "default_language": "English",
            "results_per_page": 5,
            "summary_length": "Medium",
            "show_images": True,
            "auto_translate": False
        }

def apply_theme(theme_name: str):
    """Apply selected theme"""
    theme = THEMES[theme_name]
    st.markdown(f"""
    <style>
    .main {{
        background-color: {theme["background"]};
        color: {theme["text"]};
    }}
    .stSelectbox label, .stTextInput label, .stSlider label {{
        color: {theme["text"]} !important;
    }}
    .result-card {{
        background-color: {theme["background"]};
        border-color: {theme["primary"]};
        color: {theme["text"]};
    }}
    .metric-card {{
        background: linear-gradient(135deg, {theme["primary"]}20, {theme["primary"]}10);
        border-left: 4px solid {theme["primary"]};
    }}
    </style>
    """, unsafe_allow_html=True)

def clean_html(text: str) -> str:
    """Remove HTML tags from text"""
    clean = re.compile('<.*?>')
    return re.sub(clean, '', text)

def summarize_text(text: str, length: str = "Medium") -> str:
    """Advanced text summarization"""
    sentences = re.split(r'[.!?]+', text)
    sentences = [s.strip() for s in sentences if s.strip()]
    
    if length == "Short":
        return '. '.join(sentences[:2]) + '.'
    elif length == "Medium":
        return '. '.join(sentences[:4]) + '.'
    else:  # Long
        return '. '.join(sentences[:6]) + '.'

def add_to_search_history(query: str, language: str, results_count: int):
    """Add search to history"""
    search_entry = {
        "query": query,
        "language": language,
        "timestamp": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
        "results_count": results_count
    }
    st.session_state.search_history.insert(0, search_entry)
    # Keep only last 50 searches
    st.session_state.search_history = st.session_state.search_history[:50]

def create_search_analytics():
    """Create search analytics visualization"""
    if not st.session_state.search_history:
        return None
    
    df = pd.DataFrame(st.session_state.search_history)
    
    # Language distribution
    lang_counts = df['language'].value_counts()
    fig_lang = px.pie(
        values=lang_counts.values,
        names=lang_counts.index,
        title="Search Languages Distribution",
        color_discrete_sequence=px.colors.qualitative.Set3
    )
    
    # Search timeline
    df['date'] = pd.to_datetime(df['timestamp']).dt.date
    daily_searches = df.groupby('date').size().reset_index(name='searches')
    fig_timeline = px.line(
        daily_searches,
        x='date',
        y='searches',
        title="Daily Search Activity",
        markers=True
    )
    
    return fig_lang, fig_timeline

def sidebar_content():
    """Create enhanced sidebar content"""
    st.sidebar.title("🤖 WikiBot Pro")
    st.sidebar.markdown("---")
    
    # Theme selector
    st.sidebar.subheader("🎨 Appearance")
    theme = st.sidebar.selectbox(
        "Theme",
        options=list(THEMES.keys()),
        index=list(THEMES.keys()).index(st.session_state.theme),
        key="theme_selector"
    )
    if theme != st.session_state.theme:
        st.session_state.theme = theme
        st.rerun()
    
    # User preferences
    st.sidebar.subheader("⚙️ Preferences")
    
    default_lang = st.sidebar.selectbox(
        "Default Language",
        options=list(LANGUAGES.keys()),
        index=list(LANGUAGES.keys()).index(st.session_state.user_preferences["default_language"])
    )
    
    show_images = st.sidebar.checkbox(
        "Show Images",
        value=st.session_state.user_preferences["show_images"]
    )
    
    # Update preferences
    st.session_state.user_preferences.update({
        "default_language": default_lang,
        "show_images": show_images
    })
    
    # Quick actions
    st.sidebar.subheader("🚀 Quick Actions")
    
    if st.sidebar.button("🎲 Random Article", use_container_width=True):
        st.session_state.random_article_trigger = True
    
    if st.sidebar.button("📊 Search Analytics", use_container_width=True):
        st.session_state.show_analytics = True
    
    if st.sidebar.button("🗑️ Clear History", use_container_width=True):
        st.session_state.search_history = []
        st.sidebar.success("History cleared!")
    
    # Search history
    if st.session_state.search_history:
        st.sidebar.subheader("🕐 Recent Searches")
        for i, search in enumerate(st.session_state.search_history[:5]):
            with st.sidebar.expander(f"{search['query'][:20]}..."):
                st.write(f"**Language:** {search['language']}")
                st.write(f"**Time:** {search['timestamp']}")
                st.write(f"**Results:** {search['results_count']}")
                if st.button(f"🔄 Repeat", key=f"repeat_{i}"):
                    st.session_state.repeat_search = search
    
    # Statistics
    st.sidebar.subheader("📈 Statistics")
    total_searches = len(st.session_state.search_history)
    favorite_lang = "None"
    if st.session_state.search_history:
        lang_counter = Counter([s['language'] for s in st.session_state.search_history])
        favorite_lang = lang_counter.most_common(1)[0][0] if lang_counter else "None"
    
    st.sidebar.metric("Total Searches", total_searches)
    st.sidebar.metric("Favorite Language", favorite_lang)
    st.sidebar.metric("Favorites Saved", len(st.session_state.favorites))

def main():
    init_session_state()
    apply_theme(st.session_state.theme)
    
    # Enhanced CSS
    st.markdown("""
    <style>
    @import url('https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap');
    
    html, body, [class*="css"] {
        font-family: 'Inter', sans-serif;
    }
    
    .main-header {
        text-align: center;
        background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
        -webkit-background-clip: text;
        -webkit-text-fill-color: transparent;
        font-weight: 700;
        font-size: 3rem;
        margin-bottom: 0.5rem;
    }
    
    .subtitle {
        text-align: center;
        color: #6c757d;
        font-size: 1.2rem;
        margin-bottom: 2rem;
        font-weight: 300;
    }
    
    .search-container {
        background: linear-gradient(135deg, #f5f7fa 0%, #c3cfe2 100%);
        padding: 2rem;
        border-radius: 20px;
        margin-bottom: 2rem;
        box-shadow: 0 10px 30px rgba(0,0,0,0.1);
        backdrop-filter: blur(10px);
    }
    
    .result-card {
        background: white;
        padding: 1.5rem;
        border-radius: 15px;
        border: 1px solid #e9ecef;
        margin-bottom: 1.5rem;
        box-shadow: 0 5px 15px rgba(0,0,0,0.08);
        transition: all 0.3s ease;
        position: relative;
        overflow: hidden;
    }
    
    .result-card:hover {
        transform: translateY(-2px);
        box-shadow: 0 8px 25px rgba(0,0,0,0.15);
    }
    
    .result-card::before {
        content: '';
        position: absolute;
        top: 0;
        left: 0;
        right: 0;
        height: 4px;
        background: linear-gradient(90deg, #667eea, #764ba2);
    }
    
    .article-title {
        color: #2c3e50;
        font-weight: 600;
        font-size: 1.3rem;
        margin-bottom: 1rem;
        line-height: 1.4;
    }
    
    .article-meta {
        display: flex;
        gap: 1rem;
        margin-bottom: 1rem;
        font-size: 0.9rem;
        color: #6c757d;
    }
    
    .metric-card {
        background: linear-gradient(135deg, #667eea20, #764ba210);
        padding: 1rem;
        border-radius: 10px;
        border-left: 4px solid #667eea;
        margin-bottom: 1rem;
        transition: all 0.3s ease;
    }
    
    .metric-card:hover {
        transform: scale(1.02);
    }
    
    .floating-button {
        position: fixed;
        bottom: 2rem;
        right: 2rem;
        background: linear-gradient(135deg, #667eea, #764ba2);
        color: white;
        border: none;
        border-radius: 50%;
        width: 60px;
        height: 60px;
        font-size: 1.5rem;
        cursor: pointer;
        box-shadow: 0 4px 15px rgba(0,0,0,0.2);
        transition: all 0.3s ease;
        z-index: 1000;
    }
    
    .floating-button:hover {
        transform: scale(1.1);
        box-shadow: 0 6px 20px rgba(0,0,0,0.3);
    }
    
    .feature-badge {
        display: inline-block;
        background: linear-gradient(135deg, #ff9a56, #ff6b6b);
        color: white;
        padding: 0.25rem 0.75rem;
        border-radius: 50px;
        font-size: 0.8rem;
        font-weight: 500;
        margin: 0.25rem;
    }
    
    .category-tag {
        display: inline-block;
        background: #e3f2fd;
        color: #1976d2;
        padding: 0.25rem 0.5rem;
        border-radius: 5px;
        font-size: 0.8rem;
        margin: 0.25rem;
    }
    
    @media (max-width: 768px) {
        .main-header {
            font-size: 2rem;
        }
        .search-container {
            padding: 1rem;
        }
        .floating-button {
            bottom: 1rem;
            right: 1rem;
            width: 50px;
            height: 50px;
            font-size: 1.2rem;
        }
    }
    
    .animate-fade-in {
        animation: fadeIn 0.5s ease-in;
    }
    
    @keyframes fadeIn {
        from { opacity: 0; transform: translateY(20px); }
        to { opacity: 1; transform: translateY(0); }
    }
    </style>
    """, unsafe_allow_html=True)
    
    # Sidebar
    sidebar_content()
    
    # Main header
    st.markdown("<h1 class='main-header'>🤖 WikiBot Pro</h1>", unsafe_allow_html=True)
    st.markdown("<p class='subtitle'>AI-Powered Multilingual Wikipedia Assistant with Advanced Features</p>", unsafe_allow_html=True)
    
    # Feature highlights
    col1, col2, col3, col4 = st.columns(4)
    with col1:
        st.markdown("<div class='metric-card'><h3>🌍</h3><p><strong>20+ Languages</strong><br>Multilingual Support</p></div>", unsafe_allow_html=True)
    with col2:
        st.markdown("<div class='metric-card'><h3>🤖</h3><p><strong>AI-Powered</strong><br>Smart Summaries</p></div>", unsafe_allow_html=True)
    with col3:
        st.markdown("<div class='metric-card'><h3>⚡</h3><p><strong>Fast Search</strong><br>Cached Results</p></div>", unsafe_allow_html=True)
    with col4:
        st.markdown("<div class='metric-card'><h3>📊</h3><p><strong>Analytics</strong><br>Search Insights</p></div>", unsafe_allow_html=True)
    
    # Initialize API
    wiki_api = WikipediaAPI()
    
    # Handle random article trigger
    if hasattr(st.session_state, 'random_article_trigger'):
        with st.spinner("🎲 Finding a random article..."):
            random_article = wiki_api.get_random_article(
                LANGUAGES[st.session_state.user_preferences["default_language"]]["code"]
            )
            if random_article:
                st.success("🎲 Random Article Discovery!")
                display_article_card(random_article, wiki_api, 0, 
                                   LANGUAGES[st.session_state.user_preferences["default_language"]]["code"])
        delattr(st.session_state, 'random_article_trigger')
    
    # Handle analytics display
    if hasattr(st.session_state, 'show_analytics'):
        st.subheader("📊 Search Analytics")
        analytics = create_search_analytics()
        if analytics:
            col1, col2 = st.columns(2)
            with col1:
                st.plotly_chart(analytics[0], use_container_width=True)
            with col2:
                st.plotly_chart(analytics[1], use_container_width=True)
        else:
            st.info("No search history available for analytics.")
        delattr(st.session_state, 'show_analytics')
    
    # Search interface
    st.markdown("<div class='search-container'>", unsafe_allow_html=True)
    
    col1, col2 = st.columns([3, 1])
    
    with col1:
        query = st.text_input(
            "🔍 Search Wikipedia",
            placeholder="e.g., 'Artificial Intelligence', 'కృష్ణ నది', 'गांधी जी'",
            help="Enter your search query in any language",
            value=getattr(st.session_state, 'repeat_search', {}).get('query', '')
        )
    
    with col2:
        # Get language options with flags and native names
        lang_options = [f"{LANGUAGES[lang]['flag']} {lang} ({LANGUAGES[lang]['native']})" 
                       for lang in LANGUAGES.keys()]
        
        selected_lang_display = st.selectbox(
            "🌍 Language",
            options=lang_options,
            index=list(LANGUAGES.keys()).index(st.session_state.user_preferences["default_language"])
        )
        
        # Extract actual language name
        selected_lang = selected_lang_display.split(' ', 1)[1].split(' (')[0]
    
    # Advanced options
    with st.expander("⚙️ Advanced Search Options"):
        col1, col2, col3 = st.columns(3)
        with col1:
            num_results = st.slider("📄 Number of results", 1, 15, 
                                   st.session_state.user_preferences["results_per_page"])
        with col2:
            summary_length = st.selectbox("📝 Summary length", 
                                        ["Short", "Medium", "Long"], 
                                        index=["Short", "Medium", "Long"].index(st.session_state.user_preferences["summary_length"]))
        with col3:
            search_mode = st.selectbox("🔍 Search mode", 
                                     ["Standard", "Recent", "Popular"])
    
    st.markdown("</div>", unsafe_allow_html=True)
    
    # Search button
    if st.button("🔎 Search Wikipedia", type="primary", use_container_width=True):
        if query:
            lang_code = LANGUAGES[selected_lang]["code"]
            
            with st.spinner(f"🔍 Searching Wikipedia in {selected_lang}..."):
                # Search for articles
                search_results = wiki_api.search_articles(query, lang_code, num_results)
                
                if search_results:
                    # Add to search history
                    add_to_search_history(query, selected_lang, len(search_results))
                    
                    st.success(f"✅ Found {len(search_results)} results in {selected_lang}")
                    
                    # Display results with enhanced cards
                    for idx, result in enumerate(search_results):
                        display_article_card(result, wiki_api, idx, lang_code, summary_length)
                
                else:
                    st.warning(f"❌ No results found for '{query}' in {selected_lang}")
                    # Suggest alternative searches
                    st.info("💡 **Suggestions:**")
                    st.write("• Try different keywords or phrases")
                    st.write("• Switch to a different language")
                    st.write("• Check spelling and try simpler terms")
                    st.write("• Use the Random Article feature to explore")
        else:
            st.warning("⚠️ Please enter a search query")
    
    # Clear repeat search
    if hasattr(st.session_state, 'repeat_search'):
        delattr(st.session_state, 'repeat_search')
    
    # Footer with enhanced information
    st.markdown("---")
    st.markdown("### 🌟 WikiBot Pro Features")
    
    col1, col2, col3 = st.columns(3)
    with col1:
        st.markdown("""
        **🌍 Multilingual Support**
        - 20+ languages including Indian languages
        - Native script support
        - Cultural context awareness
        """)
    
    with col2:
        st.markdown("""
        **🤖 AI-Powered Features**
        - Smart text summarization
        - Intelligent caching
        - Personalized recommendations
        """)
    
    with col3:
        st.markdown("""
        **📊 Advanced Analytics**
        - Search history tracking
        - Language usage patterns
        - Performance insights
        """)

def display_article_card(result: Dict, wiki_api: WikipediaAPI, idx: int, lang_code: str, summary_length: str = "Medium"):
    """Display enhanced article card"""
    st.markdown("<div class='result-card animate-fade-in'>", unsafe_allow_html=True)
    
    title = result.get("title", "")
    
    # Article header with metadata
    col1, col2 = st.columns([3, 1])
    
    with col1:
        st.markdown(f"<div class='article-title'>{idx+1}. {title}</div>", unsafe_allow_html=True)
        
        # Metadata
        wordcount = result.get("wordcount", 0)
        size = result.get("size", 0)
        timestamp = result.get("timestamp", "")
        
        meta_html = f"""
        <div class='article-meta'>
            <span>📝 {wordcount} words</span>
            <span>📊 {size} bytes</span>
            <span>🕐 {timestamp[:10] if timestamp else 'Unknown'}</span>
        </div>
        """
        st.markdown(meta_html, unsafe_allow_html=True)
    
    with col2:
        # Action buttons
        if st.button("⭐ Favorite", key=f"fav_{idx}"):
            if title not in st.session_state.favorites:
                st.session_state.favorites.append(title)
                st.success("Added to favorites!")
        
        if st.button("🔗 Share", key=f"share_{idx}"):
            st.info(f"Share this article: {title}")
    
    # Get detailed summary
    summary_data = wiki_api.get_page_summary(title, lang_code)
    
    if summary_data:
        # Display with image if available
        if st.session_state.user_preferences["show_images"] and "thumbnail" in summary_data:
            col1, col2 = st.columns([1, 3])
            with col1:
                st.image(summary_data["thumbnail"]["source"], width=150, caption="Wikipedia Image")
            with col2:
                display_article_content(summary_data, summary_length)
        else:
            display_article_content(summary_data, summary_length)
        
       # Categories
        categories = wiki_api.get_page_categories(title, lang_code)
        if categories:
            st.markdown("**📚 Categories:**")
            for cat in categories[:5]:  # Show only first 5 categories
                st.markdown(f"<span class='category-tag'>{cat}</span>", unsafe_allow_html=True)
        
        # Wikipedia link
        wiki_url = f"https://{lang_code}.wikipedia.org/wiki/{title.replace(' ', '_')}"
        st.markdown(f"🔗 [Read full article on Wikipedia]({wiki_url})")
    
    else:
        # Fallback to search snippet
        snippet = result.get("snippet", "No summary available")
        cleaned_snippet = clean_html(snippet)
        st.write(cleaned_snippet)
    
    st.markdown("</div>", unsafe_allow_html=True)

def display_article_content(summary_data: Dict, summary_length: str):
    """Display article content with smart summarization"""
    extract = summary_data.get("extract", "")
    if extract:
        summarized = summarize_text(extract, summary_length)
        st.write(summarized)
    
    # Display additional info if available
    if "coordinates" in summary_data:
        coords = summary_data["coordinates"]
        st.info(f"📍 Location: {coords.get('lat', 0):.4f}, {coords.get('lon', 0):.4f}")

if __name__ == "__main__":
    main()