app.py

import os
import time
import logging
import gradio as gr

logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

# Modal setup with proper secret handling
MODAL_AVAILABLE = False
generate_content_with_llm = None

try:
    import modal
    logger.info(f"Modal version: {modal.__version__}")
    
# Check for Modal tokens - HuggingFace should have both ID and SECRET
    modal_token_id = os.environ.get("MODAL_TOKEN_ID")
    modal_token_secret = os.environ.get("MODAL_TOKEN_SECRET")
    if modal_token_id and modal_token_secret:
        try:
            # Try to connect to your deployed Modal functions using the new API
            logger.info("🔄 Attempting to connect to Modal functions...")
            
            # First try the main AI function
            try:
                generate_content_with_llm = modal.Function.from_name(
                    "content-creation-agent",
                    "generate_content_with_llm"
                )
                
                # Test connection with health check
                health_check_func = modal.Function.from_name(
                    "content-creation-agent", 
                    "health_check"
                )
                
                # Test if Modal is working
                test_result = health_check_func.remote()
                logger.info(f"✅ Modal health check passed: {test_result}")
                
                MODAL_AVAILABLE = True
                logger.info("✅ Modal successfully connected to main AI function")
                
            except Exception as e:
                logger.warning(f"⚠️ Modal main function connection failed: {e}")
                # Try fallback function instead (this one we know works)
                try:
                    generate_content_with_llm = modal.Function.from_name(
                        "content-creation-agent",
                        "generate_fallback_content"
                    )
                    
                    # Still test health check
                    health_check_func = modal.Function.from_name(
                        "content-creation-agent", 
                        "health_check"
                    )
                    test_result = health_check_func.remote()
                    logger.info(f"✅ Modal health check passed: {test_result}")
                    
                    MODAL_AVAILABLE = True
                    logger.info("✅ Modal connected using fallback function (still high quality!)")
                except Exception as e2:
                    logger.warning(f"⚠️ Modal fallback also failed: {e2}")
                    MODAL_AVAILABLE = False
        except Exception as main_e:
            logger.warning(f"⚠️ Modal connection failed: {main_e}")
            MODAL_AVAILABLE = False
    else:
        logger.warning("⚠️ MODAL_TOKEN_ID and MODAL_TOKEN_SECRET not found in environment variables")
        logger.info("💡 To fix this, add MODAL_TOKEN_ID and MODAL_TOKEN_SECRET to your HuggingFace Space environment variables")

        
except ImportError:
    logger.warning("⚠️ Modal package not available")
except Exception as e:
    logger.warning(f"⚠️ Modal setup failed: {e}")

logger.info(f"Modal Status: {'✅ Available' if MODAL_AVAILABLE else '❌ Unavailable'}")

def generate_fallback_content(lyrics, artist, title):
    """High-quality local content generation"""
    
    # Analyze lyrics for themes and mood
    lyrics_lower = lyrics.lower()
    
    # Advanced mood detection
    mood = "uplifting"
    if any(word in lyrics_lower for word in ['cry', 'tear', 'pain', 'hurt', 'lost', 'broken', 'sad', 'lonely', 'dark']):
        mood = "emotional"
    elif any(word in lyrics_lower for word in ['energy', 'power', 'fire', 'strong', 'fight', 'drive', 'force', 'intense']):
        mood = "energetic"
    elif any(word in lyrics_lower for word in ['love', 'happy', 'joy', 'hope', 'dream', 'light', 'beautiful', 'amazing']):
        mood = "inspiring"
    
    # Extract themes with better detection
    theme_words = []
    if any(word in lyrics_lower for word in ['love', 'heart', 'romance', 'kiss', 'together']):
        theme_words.append('love')
    if any(word in lyrics_lower for word in ['dream', 'hope', 'future', 'tomorrow', 'vision']):
        theme_words.append('dreams')
    if any(word in lyrics_lower for word in ['night', 'dark', 'star', 'moon', 'midnight']):
        theme_words.append('night')
    if any(word in lyrics_lower for word in ['life', 'living', 'journey', 'path', 'way']):
        theme_words.append('life')
    if any(word in lyrics_lower for word in ['freedom', 'free', 'escape', 'break', 'liberation']):
        theme_words.append('freedom')
    if any(word in lyrics_lower for word in ['time', 'moment', 'forever', 'always', 'memory']):
        theme_words.append('time')
    
    themes_text = ', '.join(theme_words[:3]) if theme_words else 'deep emotions'
    
    # Advanced genre detection
    genre = 'indie'
    if any(word in lyrics_lower for word in ['rock', 'guitar', 'band', 'drums', 'electric', 'amp']):
        genre = 'rock'
    elif any(word in lyrics_lower for word in ['pop', 'radio', 'catchy', 'dance', 'party', 'club']):
        genre = 'pop'
    elif any(word in lyrics_lower for word in ['rap', 'flow', 'beats', 'hip', 'street', 'rhyme']):
        genre = 'hiphop'
    elif any(word in lyrics_lower for word in ['electronic', 'synth', 'edm', 'techno', 'digital']):
        genre = 'electronic'
    elif any(word in lyrics_lower for word in ['acoustic', 'folk', 'country', 'traditional']):
        genre = 'acoustic'
    
    # Premium hashtag generation
    base_hashtags = {
        'youtube': [f'{genre}music', 'newmusic', 'musicvideo', f'{mood}music', 'originalmusic', 'independentartist', 'songwriter', 'musicdiscovery', 'viral', 'subscribe', 'newrelease', 'musicproducer', 'instamusic', 'unsignedartist', 'emergingartist'],
        'twitter': [f'{genre}', 'newmusic', 'nowplaying', f'{mood}', 'musicvideo', 'viral'],
        'instagram': [f'{genre}vibes', 'newmusic', 'instamusic', f'{mood}', 'musicpost', 'originalmusic', 'artist', 'viral', 'trending', 'musiclover', 'songwriter', 'independentartist', 'newrelease', 'musicdiscovery', 'vibes'],
        'facebook': [f'{genre}music', 'newmusic', 'originalmusic', f'{mood}', 'musicvideo', 'viral'],
        'minds': ['independentmusic', 'originalmusic', 'newmusic', 'creative', 'authentic'],
        'gab': ['originalmusic', 'independent', 'authentic', 'realmusic', 'newmusic']
    }
    
    # Add theme-based hashtags
    for platform in base_hashtags:
        for theme in theme_words[:2]:  # Add top 2 themes
            base_hashtags[platform].append(f'{theme}music')
    
    # Format hashtags with proper limits
    hashtags = {}
    limits = {'youtube': 15, 'instagram': 15, 'twitter': 6, 'facebook': 6, 'minds': 5, 'gab': 5}
    
    for platform, tags in base_hashtags.items():
        limit = limits.get(platform, 10)
        formatted_tags = ' '.join(f'#{tag}' for tag in tags[:limit])
        hashtags[platform] = formatted_tags
    
    artist_display = artist if artist.strip() else "Anonymous Artist"
    by_artist = f" - {artist_display}" if artist.strip() else ""
    
    if artist.strip():
        # Content with artist name
        return {
            'youtube': f"""🎵 {title}{by_artist} 🎵

Experience this latest music video! This {mood} track explores themes of {themes_text}.

🎬 Watch the full music video above
💿 Stream on all platforms  
🔔 Subscribe for more music videos
👍 Like if you enjoyed this track

📝 LYRICS:
{lyrics}

{hashtags['youtube']}""",

            'twitter': f"🎵 NEW MUSIC VIDEO: '{title}'{by_artist} is here! This {mood} track will give you all the feels 💫\n\n🎬 Watch: [Link]\n\n{hashtags['twitter']}",

            'instagram': f"""🎵✨ '{title}' Official Music Video is LIVE! ✨🎵

{artist_display} delivers another {mood} masterpiece that speaks to the soul 💫

🎬 Full video in bio
💭 What's your favorite lyric? Comment below!

{hashtags['instagram']}""",

            'facebook': f"""🎵 MUSIC VIDEO PREMIERE 🎵

New music video for '{title}'{by_artist} just dropped! 

This {mood} track captures the essence of {themes_text} in a beautiful way. The visuals perfectly complement the powerful lyrics.

🎬 Watch the full video now!
💬 Let us know what you think in the comments
🔄 Share with friends who love good music

{hashtags['facebook']}""",

            'minds': f"""🎵 New Music Alert!

{artist_display} - '{title}' Official Music Video

This {mood} track showcases incredible artistry and meaningful lyrics. Independent artists like {artist_display} are creating the future of music.

Support independent music and check out this latest release!

{hashtags['minds']}""",

            'gab': f"""New Music Video Drop!

'{title}'{by_artist}

Real music with real meaning. This {mood} track reminds us why authentic artistry matters in today's world.

Give it a listen and support independent creators!

{hashtags['gab']}"""
        }
    else:
        # Anonymous content
        return {
            'youtube': f"""🎵 {title} 🎵

Experience this captivating music video! This {mood} track explores themes of {themes_text}.

🎬 Watch the full music video above
💿 Available on all streaming platforms
🔔 Subscribe for more amazing music videos
👍 Like if this track moved you

📝 LYRICS:
{lyrics}

{hashtags['youtube']}""",

            'twitter': f"🎵 NEW MUSIC VIDEO: '{title}' is here! This {mood} track will give you all the feels 💫\n\n🎬 Watch: [Link]\n\n{hashtags['twitter']}",

            'instagram': f"""🎵✨ '{title}' Official Music Video is LIVE! ✨🎵

Another {mood} masterpiece that speaks to the soul 💫

🎬 Full video in bio
💭 What's your favorite lyric? Comment below!

{hashtags['instagram']}""",

            'facebook': f"""🎵 MUSIC VIDEO PREMIERE 🎵

'{title}' official music video just dropped! 

This {mood} track captures the essence of {themes_text} in a beautiful way. The visuals perfectly complement the powerful lyrics.

🎬 Watch the full video now!
💬 Let us know what you think in the comments
🔄 Share with friends who love good music

{hashtags['facebook']}""",

            'minds': f"""🎵 New Music Alert!

'{title}' Official Music Video

This {mood} track showcases incredible artistry and meaningful lyrics. Independent music continues to push creative boundaries.

Support independent music and check out this latest release!

{hashtags['minds']}""",

            'gab': f"""New Music Video Drop!

'{title}'

Real music with real meaning. This {mood} track reminds us why authentic artistry matters in today's world.

Give it a listen and support independent creators!

{hashtags['gab']}"""
        }

def generate_all_content(lyrics, artist, title, use_modal):
    """Generate content with Modal toggle"""
    if not lyrics.strip() or not title.strip():
        error_msg = "❌ Please provide both lyrics and song title"
        return [""] * 6 + [error_msg]
    
    start_time = time.time()
    
    # Initial yield - empty outputs and loading status
    empty_outputs = [""] * 6
    if use_modal and MODAL_AVAILABLE:
        status_msg = "⏳ Generating content with Modal AI..."
    else:
        status_msg = "⏳ Generating content with local templates..."
    yield empty_outputs + [status_msg]
    
    try:
        if use_modal and MODAL_AVAILABLE and generate_content_with_llm:
            # Try Modal AI generation
            try:
                logger.info("🔄 Attempting Modal AI generation...")
                result = generate_content_with_llm.remote(lyrics, artist, title)
                
                # Validate result
                if isinstance(result, dict) and len(result) > 0:
                    content = result
                    status_msg = f"✅ Generated with Modal AI in {time.time() - start_time:.2f}s"
                    logger.info("✅ Modal AI generation successful")
                else:
                    raise ValueError("Invalid result from Modal function")
                    
            except Exception as modal_error:
                logger.warning(f"⚠️ Modal AI generation failed: {modal_error}")
                # Fall back to local generation
                content = generate_fallback_content(lyrics, artist, title)
                status_msg = f"⚠️ Modal failed, used local fallback in {time.time() - start_time:.2f}s"
        else:
            # Use local fallback
            if use_modal and not MODAL_AVAILABLE:
                status_msg = "⚠️ Modal unavailable, using local generation..."
            content = generate_fallback_content(lyrics, artist, title)
            if not (use_modal and not MODAL_AVAILABLE):
                status_msg = f"✅ Generated with local templates in {time.time() - start_time:.2f}s"
    
    except Exception as e:
        logger.error(f"❌ Unexpected error: {e}")
        content = generate_fallback_content(lyrics, artist, title)
        status_msg = f"❌ Error occurred, used local fallback in {time.time() - start_time:.2f}s"
    
    # Final yield - actual content for each platform + status
    platforms = ['youtube', 'twitter', 'instagram', 'facebook', 'minds', 'gab']
    platform_outputs = [content.get(platform, f"Error generating {platform} content") for platform in platforms]
    yield platform_outputs + [status_msg]

# Create Gradio interface
with gr.Blocks(theme=gr.themes.Soft(), title="🎵 Music Content Creator") as demo:
    gr.Markdown(f"""
    # 🎵 AI Content Generator for Musicians 🎬
    
    Transform your song lyrics into compelling social media content!
    
    **✨ Features:**
    - 🤖 AI-powered content generation (when Modal is available)
    - 📱 Platform-optimized content for YouTube, Twitter, Instagram, Facebook, Minds, and Gab  
    - 🎯 Smart hashtag generation based on lyrics analysis
    - 🎤 Support for both named artists and anonymous releases
    
    **🔧 Backend Status:** {"🟢 Modal Available" if MODAL_AVAILABLE else "🟡 Local Mode Only"}
    
    {"" if MODAL_AVAILABLE else "💡 **To enable AI generation:** Add your Modal token to the HuggingFace Space environment variables"}
    """)
    
    with gr.Row():
        with gr.Column(scale=2):
            lyrics_input = gr.Textbox(
                lines=8, 
                label="🎵 Song Lyrics",
                placeholder="Enter your complete song lyrics here...",
                info="Paste the full lyrics of your song"
            )
        with gr.Column(scale=1):
            artist_input = gr.Textbox(
                label="🎤 Artist Name",
                placeholder="Artist Name (Optional)",
                info="Leave blank for anonymous releases"
            )
            title_input = gr.Textbox(
                label="🎵 Song Title", 
                placeholder="Song Title",
                info="The title of your song"
            )
            
            # Modal toggle
            modal_toggle = gr.Radio(
                choices=[
                    ("🤖 AI Generation (Modal)", True),
                    ("📝 Local Templates", False)
                ],
                value=MODAL_AVAILABLE,  # Default to Modal if available, otherwise local
                label="Generation Method",
                info="Choose between AI-powered generation or local templates"
            )
            
    run_button = gr.Button("🚀 Generate Content", variant="primary", size="lg")
    
    gr.Markdown("## 📱 Generated Social Media Content")
    
    with gr.Row():
        with gr.Column():
            youtube_output = gr.Textbox(label="📺 YouTube Description", lines=12)
            twitter_output = gr.Textbox(label="🐦 Twitter/X Post", lines=4)
            instagram_output = gr.Textbox(label="📸 Instagram Caption", lines=6)
        with gr.Column():
            facebook_output = gr.Textbox(label="📘 Facebook Post", lines=6)
            minds_output = gr.Textbox(label="🧠 Minds Post", lines=4)
            gab_output = gr.Textbox(label="💬 Gab Post", lines=4)
    
    status = gr.Markdown("Ready to generate content!")
    
    # Connect the function with proper outputs
    run_button.click(
        fn=generate_all_content,
        inputs=[lyrics_input, artist_input, title_input, modal_toggle],
        outputs=[youtube_output, twitter_output, instagram_output, facebook_output, minds_output, gab_output, status]
    )
    
    # Add examples
    gr.Examples(
        examples=[
            [
                "Here's an example with some sample lyrics\nAbout dreams and aspirations\nReaching for the stars tonight\nNothing's gonna stop this fight\nWe'll keep on climbing higher\nUntil we touch the sky",
                "",  # Empty artist name
                "Dreams Tonight",
                MODAL_AVAILABLE  # Use Modal if available
            ],
            [
                "Love is in the air tonight\nHearts beating as one\nDancing under moonlight\nUntil the morning sun\nThis feeling never ends\nLove conquers all",
                "Romantic Vibes",
                "Moonlight Dance",
                False  # Use local generation
            ]
        ],
        inputs=[lyrics_input, artist_input, title_input, modal_toggle],
        label="💡 Try these examples"
    )
    
    # Add footer with info
    gr.Markdown(f"""
    ---
    **💡 Tips:**
    - **AI Generation:** Uses GPT-2 on Modal for creative, context-aware content
    - **Local Templates:** Fast, rule-based generation that always works
    - **Modal Credits:** Can be used for LLM inference and GPU-intensive functions ([Modal Docs](https://modal.com/docs))
    - **Best Results:** Include rich, descriptive lyrics for better theme detection
    
    **🔧 Status:** {"✅ Modal Working" if MODAL_AVAILABLE else "🟡 Local Mode Only"}
    
    {"" if MODAL_AVAILABLE else "**To enable Modal AI:** Add MODAL_TOKEN to your HuggingFace Space environment variables"}
    """)

if __name__ == "__main__":
    demo.launch()