Update app.py

app.py

@@ -557,57 +557,57 @@ def optimize_image(self, image):
 @spaces.GPU
 def generate_ultra_supreme_prompt(self, image):
     try:
-            if not self.is_initialized:
-                if not self.initialize_model():
-                    return "❌ Model initialization failed.", "Please refresh and try again.", 0, {}
-            
-            if image is None:
-                return "❌ Please upload an image.", "No image provided.", 0, {}
-            
-            self.usage_count += 1
-            
-            image = self.optimize_image(image)
-            if image is None:
-                return "❌ Image processing failed.", "Invalid image format.", 0, {}
-            
-            start_time = datetime.now()
-            
-            # ULTRA SUPREME TRIPLE CLIP ANALYSIS
-            logger.info("ULTRA SUPREME ANALYSIS - Maximum intelligence deployment")
-            
-            clip_fast = self.interrogator.interrogate_fast(image)
-            clip_classic = self.interrogator.interrogate_classic(image) 
-            clip_best = self.interrogator.interrogate(image)
-            
-            logger.info(f"ULTRA CLIP Results:\nFast: {clip_fast}\nClassic: {clip_classic}\nBest: {clip_best}")
-            
-            # ULTRA SUPREME ANALYSIS
-            ultra_analysis = self.analyzer.ultra_supreme_analysis(clip_fast, clip_classic, clip_best)
-            
-            # BUILD ULTRA SUPREME FLUX PROMPT
-            optimized_prompt = self.analyzer.build_ultra_supreme_prompt(ultra_analysis, [clip_fast, clip_classic, clip_best])
-            
-            # CALCULATE ULTRA SUPREME SCORE
-            score, breakdown = self.analyzer.calculate_ultra_supreme_score(optimized_prompt, ultra_analysis)
-            
-            end_time = datetime.now()
-            duration = (end_time - start_time).total_seconds()
-            
-            # Memory cleanup
-            if self.device == "cpu":
-                gc.collect()
-            else:
-                torch.cuda.empty_cache()
-            
-            # ULTRA COMPREHENSIVE ANALYSIS REPORT
-            gpu_status = "⚡ ZeroGPU" if torch.cuda.is_available() else "💻 CPU"
-            
-            # Format detected elements
-            features = ", ".join(ultra_analysis["facial_ultra"]["facial_hair"]) if ultra_analysis["facial_ultra"]["facial_hair"] else "None detected"
-            cultural = ", ".join(ultra_analysis["demographic"]["cultural_religious"]) if ultra_analysis["demographic"]["cultural_religious"] else "None detected"
-            clothing = ", ".join(ultra_analysis["clothing_accessories"]["eyewear"] + ultra_analysis["clothing_accessories"]["headwear"]) if ultra_analysis["clothing_accessories"]["eyewear"] or ultra_analysis["clothing_accessories"]["headwear"] else "None detected"
-            
-analysis_info = f"""**🚀 ULTRA SUPREME ANALYSIS COMPLETE**
+        if not self.is_initialized:
+            if not self.initialize_model():
+                return "❌ Model initialization failed.", "Please refresh and try again.", 0, {}
+        
+        if image is None:
+            return "❌ Please upload an image.", "No image provided.", 0, {}
+        
+        self.usage_count += 1
+        
+        image = self.optimize_image(image)
+        if image is None:
+            return "❌ Image processing failed.", "Invalid image format.", 0, {}
+        
+        start_time = datetime.now()
+        
+        # ULTRA SUPREME TRIPLE CLIP ANALYSIS
+        logger.info("ULTRA SUPREME ANALYSIS - Maximum intelligence deployment")
+        
+        clip_fast = self.interrogator.interrogate_fast(image)
+        clip_classic = self.interrogator.interrogate_classic(image) 
+        clip_best = self.interrogator.interrogate(image)
+        
+        logger.info(f"ULTRA CLIP Results:\nFast: {clip_fast}\nClassic: {clip_classic}\nBest: {clip_best}")
+        
+        # ULTRA SUPREME ANALYSIS
+        ultra_analysis = self.analyzer.ultra_supreme_analysis(clip_fast, clip_classic, clip_best)
+        
+        # BUILD ULTRA SUPREME FLUX PROMPT
+        optimized_prompt = self.analyzer.build_ultra_supreme_prompt(ultra_analysis, [clip_fast, clip_classic, clip_best])
+        
+        # CALCULATE ULTRA SUPREME SCORE
+        score, breakdown = self.analyzer.calculate_ultra_supreme_score(optimized_prompt, ultra_analysis)
+        
+        end_time = datetime.now()
+        duration = (end_time - start_time).total_seconds()
+        
+        # Memory cleanup
+        if self.device == "cpu":
+            gc.collect()
+        else:
+            torch.cuda.empty_cache()
+        
+        # ULTRA COMPREHENSIVE ANALYSIS REPORT
+        gpu_status = "⚡ ZeroGPU" if torch.cuda.is_available() else "💻 CPU"
+        
+        # Format detected elements
+        features = ", ".join(ultra_analysis["facial_ultra"]["facial_hair"]) if ultra_analysis["facial_ultra"]["facial_hair"] else "None detected"
+        cultural = ", ".join(ultra_analysis["demographic"]["cultural_religious"]) if ultra_analysis["demographic"]["cultural_religious"] else "None detected"
+        clothing = ", ".join(ultra_analysis["clothing_accessories"]["eyewear"] + ultra_analysis["clothing_accessories"]["headwear"]) if ultra_analysis["clothing_accessories"]["eyewear"] or ultra_analysis["clothing_accessories"]["headwear"] else "None detected"
+        
+        analysis_info = f"""**🚀 ULTRA SUPREME ANALYSIS COMPLETE**
 **Processing:** {gpu_status} • {duration:.1f}s • Triple CLIP Ultra Intelligence  
 **Ultra Score:** {score}/100 • Breakdown: Structure({breakdown.get('structure',0)}) Features({breakdown.get('features',0)}) Cultural({breakdown.get('cultural',0)}) Emotional({breakdown.get('emotional',0)}) Technical({breakdown.get('technical',0)})  
 **Generation:** #{self.usage_count}  
@@ -624,12 +624,12 @@ analysis_info = f"""**🚀 ULTRA SUPREME ANALYSIS COMPLETE**
 - **Classic:** {clip_classic[:50]}...  
 - **Best:** {clip_best[:50]}...
 **⚡ ULTRA OPTIMIZATION:** Applied absolute maximum depth analysis with Pariente AI research rules"""
-            
-            return optimized_prompt, analysis_info, score, breakdown
-            
-        except Exception as e:
-            logger.error(f"Ultra supreme generation error: {e}")
-            return f"❌ Error: {str(e)}", "Please try with a different image.", 0, {}
+        
+        return optimized_prompt, analysis_info, score, breakdown
+        
+    except Exception as e:
+        logger.error(f"Ultra supreme generation error: {e}")
+        return f"❌ Error: {str(e)}", "Please try with a different image.", 0, {}
 
 # Initialize the optimizer
 optimizer = UltraSupremeOptimizer()