Update analyzer.py

analyzer.py

@@ -18,7 +18,15 @@ class UltraSupremeAnalyzer:
             "clip_fast": clip_fast,
             "clip_classic": clip_classic, 
             "clip_best": clip_best,
-            "full_description": f"{clip_fast} {clip_classic} {clip_best}"
+            "full_description": f"{clip_fast} {clip_classic} {clip_best}",
+            "demographic": {"age_category": None, "age_confidence": 0, "gender": None, "cultural_religious": []},
+            "facial_ultra": {"eyes": [], "eyebrows": [], "nose": [], "mouth": [], "facial_hair": [], "skin": [], "structure": []},
+            "emotional_state": {"primary_emotion": None, "emotion_confidence": 0, "micro_expressions": [], "overall_demeanor": []},
+            "clothing_accessories": {"headwear": [], "eyewear": [], "clothing": [], "accessories": []},
+            "environmental": {"setting_type": None, "specific_location": None, "lighting_analysis": [], "atmosphere": []},
+            "pose_composition": {"body_language": [], "head_position": [], "eye_contact": [], "posture": []},
+            "technical_analysis": {"shot_type": None, "angle": None, "lighting_setup": None, "suggested_equipment": {}},
+            "intelligence_metrics": {"total_features_detected": 0, "analysis_depth_score": 0, "cultural_awareness_score": 0, "technical_optimization_score": 0}
         }
     
     def build_ultra_supreme_prompt(self, ultra_analysis: Dict[str, Any], clip_results: List[str]) -> str: