Update app.py

app.py

@@ -607,29 +607,29 @@ def generate_ultra_supreme_prompt(self, image):
             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**
+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}  
 **🧠 ULTRA DEEP DETECTION:**
-• **Age Category:** {ultra_analysis["demographic"].get("age_category", "Unspecified").replace("_", " ").title()} (Confidence: {ultra_analysis["demographic"].get("age_confidence", 0)})
-• **Cultural Context:** {cultural}  
-• **Facial Features:** {features}
-• **Accessories:** {clothing}
-• **Setting:** {ultra_analysis["environmental"].get("setting_type", "Standard").title()}
-• **Emotion:** {ultra_analysis["emotional_state"].get("primary_emotion", "Neutral").title()}
-• **Total Features:** {ultra_analysis["intelligence_metrics"]["total_features_detected"]}
+- **Age Category:** {ultra_analysis["demographic"].get("age_category", "Unspecified").replace("_", " ").title()} (Confidence: {ultra_analysis["demographic"].get("age_confidence", 0)})
+- **Cultural Context:** {cultural}  
+- **Facial Features:** {features}
+- **Accessories:** {clothing}
+- **Setting:** {ultra_analysis["environmental"].get("setting_type", "Standard").title()}
+- **Emotion:** {ultra_analysis["emotional_state"].get("primary_emotion", "Neutral").title()}
+- **Total Features:** {ultra_analysis["intelligence_metrics"]["total_features_detected"]}
 **📊 CLIP ANALYSIS SOURCES:**
-• **Fast:** {clip_fast[:50]}...
-• **Classic:** {clip_classic[:50]}...  
-• **Best:** {clip_best[:50]}...
+- **Fast:** {clip_fast[:50]}...
+- **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, {}
+        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()
@@ -700,159 +700,4 @@ def create_interface():
         box-shadow: 0 20px 50px -10px rgba(0, 0, 0, 0.25);
         position: relative;
         overflow: hidden;
-    }
-    
-    .main-header::before {
-        content: '';
-        position: absolute;
-        top: 0;
-        left: 0;
-        right: 0;
-        bottom: 0;
-        background: linear-gradient(45deg, rgba(59, 130, 246, 0.1) 0%, rgba(147, 51, 234, 0.1) 50%, rgba(236, 72, 153, 0.1) 100%);
-        z-index: 1;
-    }
-    
-    .main-title {
-        font-size: 4rem !important;
-        font-weight: 900 !important;
-        margin: 0 0 1rem 0 !important;
-        letter-spacing: -0.05em !important;
-        background: linear-gradient(135deg, #60a5fa 0%, #3b82f6 25%, #8b5cf6 50%, #a855f7 75%, #ec4899 100%);
-        -webkit-background-clip: text;
-        -webkit-text-fill-color: transparent;
-        background-clip: text;
-        position: relative;
-        z-index: 2;
-    }
-    
-    .subtitle {
-        font-size: 1.5rem !important;
-        font-weight: 500 !important;
-        opacity: 0.95 !important;
-        margin: 0 !important;
-        position: relative;
-        z-index: 2;
-    }
-    
-    .prompt-output {
-        font-family: 'SF Mono', 'Monaco', 'Inconsolata', 'Roboto Mono', monospace !important;
-        font-size: 15px !important;
-        line-height: 1.8 !important;
-        background: linear-gradient(135deg, #ffffff 0%, #f8fafc 100%) !important;
-        border: 2px solid #e2e8f0 !important;
-        border-radius: 20px !important;
-        padding: 2.5rem !important;
-        box-shadow: 0 20px 50px -10px rgba(0, 0, 0, 0.1) !important;
-        transition: all 0.3s ease !important;
-    }
-    
-    .prompt-output:hover {
-        box-shadow: 0 25px 60px -5px rgba(0, 0, 0, 0.15) !important;
-        transform: translateY(-2px) !important;
-    }
-    """
-    
-    with gr.Blocks(
-        theme=gr.themes.Soft(),
-        title="🚀 Ultra Supreme Flux Optimizer",
-        css=css
-    ) as interface:
-        
-        gr.HTML("""
-        <div class="main-header">
-            <div class="main-title">🚀 ULTRA SUPREME FLUX OPTIMIZER</div>
-            <div class="subtitle">Maximum Absolute Intelligence • Triple CLIP Analysis • Zero Compromise • Research Supremacy</div>
-        </div>
-        """)
-        
-        with gr.Row():
-            with gr.Column(scale=1):
-                gr.Markdown("## 🧠 Ultra Supreme Analysis Engine")
-                
-                image_input = gr.Image(
-                    label="Upload image for MAXIMUM intelligence analysis",
-                    type="pil",
-                    height=500
-                )
-                
-                analyze_btn = gr.Button(
-                    "🚀 ULTRA SUPREME ANALYSIS",
-                    variant="primary",
-                    size="lg"
-                )
-                
-                gr.Markdown("""
-                ### 🔬 Maximum Absolute Intelligence
-                
-                **🚀 Triple CLIP Interrogation:**
-                • Fast analysis for broad contextual mapping
-                • Classic analysis for detailed feature extraction  
-                • Best analysis for maximum depth intelligence
-                
-                **🧠 Ultra Deep Feature Extraction:**
-                • Micro-age detection with confidence scoring
-                • Cultural/religious context with semantic analysis
-                • Facial micro-features and expression mapping
-                • Emotional state and micro-expression detection
-                • Environmental lighting and atmospheric analysis
-                • Body language and pose interpretation
-                • Technical photography optimization
-                
-                **⚡ Absolute Maximum Intelligence** - No configuration, no limits, no compromise.
-                """)
-            
-            with gr.Column(scale=1):
-                gr.Markdown("## ⚡ Ultra Supreme Result")
-                
-                prompt_output = gr.Textbox(
-                    label="🚀 Ultra Supreme Optimized Flux Prompt",
-                    placeholder="Upload an image to witness absolute maximum intelligence analysis...",
-                    lines=12,
-                    max_lines=20,
-                    elem_classes=["prompt-output"],
-                    show_copy_button=True
-                )
-                
-                score_output = gr.HTML(
-                    value='<div style="text-align: center; padding: 1rem;"><div style="font-size: 2rem; color: #ccc;">--</div><div style="font-size: 0.875rem; color: #999;">Ultra Supreme Score</div></div>'
-                )
-                
-                info_output = gr.Markdown(value="")
-                
-                clear_btn = gr.Button("🗑️ Clear Ultra Analysis", size="sm")
-        
-        # Event handlers
-        analyze_btn.click(
-            fn=process_ultra_supreme_analysis,
-            inputs=[image_input],
-            outputs=[prompt_output, info_output, score_output]
-        )
-        
-        clear_btn.click(
-            fn=clear_outputs,
-            outputs=[prompt_output, info_output, score_output]
-        )
-        
-        gr.Markdown("""
-        ---
-        ### 🏆 Ultra Supreme Research Foundation
-        
-        This system represents the **absolute pinnacle** of image analysis and Flux prompt optimization. Using triple CLIP interrogation, 
-        ultra-deep feature extraction, cultural context awareness, and emotional intelligence mapping, it achieves maximum possible 
-        understanding and applies research-validated Flux rules with supreme intelligence.
-        
-        **🔬 Pariente AI Research Laboratory** • **🚀 Ultra Supreme Intelligence Engine**
-        """)
-    
-    return interface
-
-# Launch the application
-if __name__ == "__main__":
-    demo = create_interface()
-    demo.launch(
-        server_name="0.0.0.0",
-        server_port=7860,
-        share=True,
-        show_error=True
-    )
+    }