Upload ldq_genre_manifold.py with huggingface_hub

ldq_genre_manifold.py

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+#!/usr/bin/env python3
+"""
+LDQ Genre Manifold Projection
+Deterministic parameter warping for genre-specific sounds
+"""
+
+from typing import Dict, Any
+
+# Genre manifolds as parameter vectors
+GENRE_MANIFOLDS = {
+    "Dubstep": {
+        "swing_amount": 0.25,
+        "half_time_factor": 0.5,
+        "spectral_centroid_target": 0.6,
+        "clap_density": 0.3,
+        "sub_bass_boost": 1.5,
+    },
+    "Phonk": {
+        "swing_amount": 0.33,
+        "half_time_factor": 1.0,
+        "spectral_centroid_target": 0.4,
+        "clap_density": 0.7,
+        "sub_bass_boost": 1.2,
+    },
+    "Industrial": {
+        "swing_amount": 0.15,
+        "half_time_factor": 0.75,
+        "spectral_centroid_target": 0.8,
+        "clap_density": 0.1,
+        "sub_bass_boost": 1.8,
+    },
+}
+
+def project_to_genre(features: Dict[str, Any], genre: str) -> Dict[str, float]:
+    """
+    Project image features onto a genre manifold.
+    Returns a dictionary of synthesis parameters.
+    """
+    if genre not in GENRE_MANIFOLDS:
+        return {}
+    
+    base = GENRE_MANIFOLDS[genre].copy()
+    
+    # Modulate parameters based on image features
+    edge_density = features.get("edge_density", 0.02)
+    chaos_index = features.get("chaos_keypoints", 0)
+    brightness = features.get("average_brightness", 0.5)
+    
+    # Swing modifier: more edges = more swing
+    base["swing_amount"] = min(0.5, base["swing_amount"] + edge_density * 1.5)
+    
+    # Half-time factor: dark images = more half-time
+    base["half_time_factor"] = max(0.3, base["half_time_factor"] - (1.0 - brightness) * 0.3)
+    
+    # Spectral centroid: chaos pushes it higher
+    base["spectral_centroid_target"] = min(1.0, base["spectral_centroid_target"] + (chaos_index / 1000) * 0.3)
+    
+    # Clap density: edge density controls it
+    base["clap_density"] = min(1.0, base["clap_density"] + edge_density * 2.0)
+    
+    return base
+