Spaces:

thecollabagepatch
/

magenta-retry

Running

File size: 11,107 Bytes

<!DOCTYPE html>
<html>
<head>
  <meta charset="utf-8">
  <title>MagentaRT Research API</title>
  <style>
    body { 
      font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; 
      max-width: 900px; 
      margin: 48px auto; 
      padding: 0 24px; 
      color: #111; 
      line-height: 1.6;
    }
    .header { text-align: center; margin-bottom: 48px; }
    .badge { 
      display: inline-block; 
      background: #ff6b35; 
      color: white; 
      padding: 4px 12px; 
      border-radius: 16px; 
      font-size: 0.85em; 
      font-weight: 500;
      margin-left: 8px;
    }
    code, pre { 
      background: #f6f8fa; 
      border: 1px solid #eaecef; 
      border-radius: 6px; 
      font-family: 'SF Mono', Monaco, 'Cascadia Code', 'Roboto Mono', Consolas, monospace;
    }
    code { padding: 2px 6px; }
    pre { 
      padding: 16px; 
      overflow-x: auto; 
      margin: 16px 0;
      position: relative;
    }
    .copy-btn {
      position: absolute;
      top: 8px;
      right: 8px;
      background: #0969da;
      color: white;
      border: none;
      border-radius: 4px;
      padding: 4px 8px;
      font-size: 12px;
      cursor: pointer;
    }
    .copy-btn:hover { background: #0550ae; }
    .muted { color: #656d76; }
    .warning { 
      background: #fff8c5; 
      border: 1px solid #e3b341; 
      border-radius: 8px; 
      padding: 16px; 
      margin: 16px 0;
    }
    .info { 
      background: #dbeafe; 
      border: 1px solid #3b82f6; 
      border-radius: 8px; 
      padding: 16px; 
      margin: 16px 0;
    }
    ul { line-height: 1.8; }
    .endpoint { 
      background: #f8f9fa; 
      border-left: 4px solid #0969da; 
      padding: 12px 16px; 
      margin: 12px 0;
    }
    .demo-placeholder {
      background: #f6f8fa;
      border: 2px dashed #d1d9e0;
      border-radius: 8px;
      padding: 48px;
      text-align: center;
      margin: 24px 0;
      color: #656d76;
    }
    .grid { 
      display: grid; 
      grid-template-columns: 1fr 1fr; 
      gap: 24px; 
      margin: 24px 0;
    }
    .card {
      background: #f8f9fa;
      border: 1px solid #e1e8ed;
      border-radius: 8px;
      padding: 20px;
    }
    a { color: #0969da; text-decoration: none; }
    a:hover { text-decoration: underline; }
    .section { margin: 48px 0; }
  </style>
</head>
<body>
  <div class="header">
    <h1>🎵 MagentaRT Research API</h1>
    <p class="muted"><strong>AI Music Generation API</strong> • Real-time streaming • Custom fine-tuning support</p>
    <span class="badge">Research Project</span>
  </div>

  <div class="demo-placeholder">
    <h3>📱 App Demo Video</h3>
    <p>Demo video will be embedded here<br>
    <small>Showing the iPhone app generating music in real-time</small></p>
  </div>

  <div class="section">
    <h2>Overview</h2>
    <p>This API powers AI music generation using Google's MagentaRT, designed for real-time audio streaming and custom model fine-tuning. Built for iOS app integration with WebSocket streaming support.</p>
    
    <div class="info">
      <strong>Hardware Requirements:</strong> Optimal performance requires an L40S GPU (48GB VRAM) for real-time streaming. L4 24GB works but may not maintain real-time performance.
    </div>
  </div>

  <div class="section">
    <h2>Quick Start - WebSocket Streaming</h2>
    <p>Connect to <code>wss://&lt;your-space&gt;/ws/jam</code> for real-time audio generation:</p>

    <h3>Start Real-time Generation</h3>
    <pre><button class="copy-btn" onclick="copyCode(this)">Copy</button>{
  "type": "start",
  "mode": "rt",
  "binary_audio": false,
  "params": {
    "styles": "electronic, ambient",
    "style_weights": "1.0, 0.8",
    "temperature": 1.1,
    "topk": 40,
    "guidance_weight": 1.1,
    "pace": "realtime",
    "style_ramp_seconds": 8.0,
    "mean": 0.0,
    "centroid_weights": "0.0, 0.0, 0.0"
  }
}</pre>

    <h3>Update Parameters Live</h3>
    <pre><button class="copy-btn" onclick="copyCode(this)">Copy</button>{
  "type": "update",
  "styles": "jazz, hiphop",
  "style_weights": "1.0, 0.8",
  "temperature": 1.2,
  "topk": 64,
  "guidance_weight": 1.0,
  "mean": 0.2,
  "centroid_weights": "0.1, 0.3, 0.0"
}</pre>

    <h3>Stop Generation</h3>
    <pre><button class="copy-btn" onclick="copyCode(this)">Copy</button>{"type": "stop"}</pre>
  </div>

  <div class="section">
    <h2>API Endpoints</h2>
    
    <div class="endpoint">
      <strong>POST /generate</strong> - Generate 4–8 bars of music with input audio
    </div>
    
    <div class="endpoint">
      <strong>POST /generate_style</strong> - Generate music from style prompts only (experimental)
    </div>
    
    <div class="endpoint">
      <strong>POST /jam/start</strong> - Start continuous jamming session
    </div>
    
    <div class="endpoint">
      <strong>GET /jam/next</strong> - Get next audio chunk from session
    </div>
    
    <div class="endpoint">
      <strong>POST /jam/consume</strong> - Mark chunk as consumed
    </div>
    
    <div class="endpoint">
      <strong>POST /jam/stop</strong> - End jamming session
    </div>
    
    <div class="endpoint">
      <strong>WEBSOCKET /ws/jam</strong> - Real-time streaming interface
    </div>
    
    <div class="endpoint">
      <strong>POST /model/select</strong> - Switch between base and fine-tuned models
    </div>
  </div>

  <div class="section">
    <h2>Custom Fine-Tuning</h2>
    <p>Train your own MagentaRT models and use them with this API and the iOS app.</p>

    <div class="grid">
      <div class="card">
        <h3>1. Train Your Model</h3>
        <p>Use the official MagentaRT fine-tuning notebook:</p>
        <p><a href="https://github.com/magenta-realtime/notebooks/blob/main/Magenta_RT_Finetune.ipynb" target="_blank">🔗 MagentaRT Fine-tuning Colab</a></p>
        <p>This will create checkpoint folders like:</p>
        <ul>
          <li><code>checkpoint_1861001/</code></li>
          <li><code>checkpoint_1862001/</code></li>
          <li>And steering assets: <code>cluster_centroids.npy</code>, <code>mean_style_embed.npy</code></li>
        </ul>
      </div>

      <div class="card">
        <h3>2. Package Checkpoints</h3>
        <p>Checkpoints must be compressed as .tgz files to preserve .zarray files correctly.</p>
        <div class="warning">
          <strong>Important:</strong> Do not download checkpoint folders directly from Google Drive - the .zarray files won't transfer properly.
        </div>
      </div>
    </div>

    <h3>Checkpoint Packaging Script</h3>
    <p>Use this in a Colab cell to properly package your checkpoints:</p>
    <pre><button class="copy-btn" onclick="copyCode(this)">Copy</button># Mount Drive to access your trained checkpoints
from google.colab import drive
drive.mount('/content/drive')

# Set the path to your checkpoint folder
CKPT_SRC = '/content/drive/MyDrive/thepatch/checkpoint_1862001'  # Adjust path

# Copy folder to local storage (preserves dotfiles)
!rm -rf /content/checkpoint_1862001
!cp -a "$CKPT_SRC" /content/

# Verify .zarray files are present
!find /content/checkpoint_1862001 -name .zarray | wc -l

# Create properly formatted .tgz archive
!tar -C /content -czf /content/checkpoint_1862001.tgz checkpoint_1862001

# Verify critical files are in the archive
!tar -tzf /content/checkpoint_1862001.tgz | grep -c '.zarray'

# Download the .tgz file
from google.colab import files
files.download('/content/checkpoint_1862001.tgz')</pre>

    <h3>3. Upload to Hugging Face</h3>
    <p>Create a model repository and upload:</p>
    <ul>
      <li>Your <code>.tgz</code> checkpoint files</li>
      <li><code>cluster_centroids.npy</code> (for steering)</li>
      <li><code>mean_style_embed.npy</code> (for steering)</li>
    </ul>
    
    <div class="info">
      <strong>Example Repository:</strong> <a href="https://huggingface.co/thepatch/magenta-ft" target="_blank">thepatch/magenta-ft</a><br>
      Shows the correct file structure with .tgz files and .npy steering assets in the root directory.
    </div>

    <h3>4. Use in the App</h3>
    <p>In the iOS app's model selector, point to your Hugging Face repository URL. The app will automatically discover available checkpoints and allow switching between them.</p>
  </div>

  <div class="section">
    <h2>Technical Specifications</h2>
    <ul>
      <li><strong>Audio Format:</strong> 48 kHz stereo, ~2.0s chunks with ~40ms crossfade</li>
      <li><strong>Model Sizes:</strong> Base and Large variants available</li>
      <li><strong>Steering:</strong> Support for text prompts, audio embeddings, and centroid-based fine-tune steering</li>
      <li><strong>Real-time Performance:</strong> L40S recommended; L4 may experience slight delays</li>
      <li><strong>Memory Requirements:</strong> ~40GB VRAM for sustained real-time streaming</li>
    </ul>

    <div class="warning">
      <strong>Note:</strong> The <code>/generate_style</code> endpoint is experimental and may not properly adhere to BPM without additional context (considering metronome-based context instead of silence).
    </div>
  </div>

  <div class="section">
    <h2>Integration with iOS App</h2>
    <p>This API is designed to work seamlessly with our iOS music generation app:</p>
    <ul>
      <li>Real-time audio streaming via WebSockets</li>
      <li>Dynamic model switching between base and fine-tuned models</li>
      <li>Integration with stable-audio-open-small for combined input audio generation</li>
      <li>Live parameter adjustment during generation</li>
    </ul>
  </div>

  <div class="section">
    <h2>Deployment</h2>
    <p>To run your own instance:</p>
    <ol>
      <li>Duplicate this Hugging Face Space</li>
      <li>Ensure you have access to an L40S GPU</li>
      <li>Point your iOS app to the new space URL (e.g., <code>https://your-username-magenta-retry.hf.space</code>)</li>
      <li>Upload your fine-tuned models as described above</li>
    </ol>
  </div>

  <div class="section">
    <h2>Support & Contact</h2>
    <p>This is an active research project. For questions, technical support, or collaboration:</p>
    <p><strong>Email:</strong> <a href="mailto:kev@thecollabagepatch.com">kev@thecollabagepatch.com</a></p>
    
    <div class="info">
      <strong>Research Status:</strong> This project is under active development. Features and API may change. We welcome feedback and contributions from the research community.
    </div>
  </div>

  <div class="section">
    <h2>Licensing</h2>
    <p>Built on Google's MagentaRT (Apache 2.0 + CC-BY 4.0). Users are responsible for their generated outputs and ensuring compliance with applicable laws and platform policies.</p>
    <p><a href="/docs">📖 API Reference Documentation</a></p>
  </div>

  <script>
    function copyCode(button) {
      const pre = button.parentElement;
      const code = pre.textContent.replace('Copy', '').trim();
      navigator.clipboard.writeText(code).then(() => {
        button.textContent = 'Copied!';
        setTimeout(() => button.textContent = 'Copy', 2000);
      });
    }
  </script>
</body>
</html>