Update app.py

app.py

@@ -89,7 +89,6 @@ class UltraSupremeAnalyzer:
                 "general": ["religious garment", "traditional clothing", "ceremonial dress", "formal religious attire"]
             }
         }
-        
         self.clothing_accessories_ultra = {
             "headwear": ["hat", "cap", "beret", "headband", "turban", "hood", "helmet", "crown", "headpiece"],
             "eyewear": ["glasses", "spectacles", "sunglasses", "reading glasses", "wire-frame glasses", "thick-rimmed glasses", "designer glasses", "vintage glasses"],
@@ -170,8 +169,7 @@ class UltraSupremeAnalyzer:
                 "artistic": ["creative", "expressive", "aesthetic", "artistic"]
             }
         }
-    
-    def ultra_supreme_analysis(self, clip_fast, clip_classic, clip_best):
+        def ultra_supreme_analysis(self, clip_fast, clip_classic, clip_best):
         """ULTRA SUPREME ANALYSIS - MAXIMUM POSSIBLE INTELLIGENCE"""
         
         combined_analysis = {
@@ -288,8 +286,7 @@ class UltraSupremeAnalyzer:
         ultra_result["intelligence_metrics"]["cultural_awareness_score"] = len(ultra_result["demographic"]["cultural_religious"]) * 20
         
         return ultra_result
-    
-    def build_ultra_supreme_prompt(self, ultra_analysis, clip_results):
+        def build_ultra_supreme_prompt(self, ultra_analysis, clip_results):
         """BUILD ULTRA SUPREME FLUX PROMPT - ABSOLUTE MAXIMUM QUALITY"""
         
         components = []
@@ -501,18 +498,20 @@ class UltraSupremeAnalyzer:
         breakdown["environmental"] = env_score
         
         return min(score, 100), breakdown
-        class UltraSupremeOptimizer:
-            def __init__(self):
-                self.interrogator = None
-                self.analyzer = UltraSupremeAnalyzer()
-                self.usage_count = 0
-                self.device = DEVICE
-                self.is_initialized = False
-    
-            def initialize_model(self):
-                if self.is_initialized:
+
+
+class UltraSupremeOptimizer:
+    def __init__(self):
+        self.interrogator = None
+        self.analyzer = UltraSupremeAnalyzer()
+        self.usage_count = 0
+        self.device = DEVICE
+        self.is_initialized = False
+
+    def initialize_model(self):
+        if self.is_initialized:
             return True
-            
+        
         try:
             config = Config(
                 clip_model_name="ViT-L-14/openai",
@@ -535,8 +534,7 @@ class UltraSupremeAnalyzer:
         except Exception as e:
             logger.error(f"Initialization error: {e}")
             return False
-    
-    def optimize_image(self, image):
+            def optimize_image(self, image):
         if image is None:
             return None
             
@@ -633,6 +631,7 @@ class UltraSupremeAnalyzer:
 
 # Initialize the optimizer
 optimizer = UltraSupremeOptimizer()
+
 def process_ultra_supreme_analysis(image):
     """Ultra supreme analysis wrapper"""
     try: