Upload Bluesy.py

Bluesy.py

@@ -0,0 +1,67 @@
+import random
+import datetime
+
+class AdvancedEmotionalEngine:
+    def __init__(self):
+        # The 7 Primary Cores
+        self.emotion_map = {
+            "Joy": ["Elated", "Serene", "Ecstatic", "Triumphant", "Grateful", "Radiant", "Optimistic"],
+            "Sadness": ["Melancholy", "Grief", "Disappointed", "Lonely", "Pensive", "Heartbroken", "Empty"],
+            "Anger": ["Livid", "Resentful", "Frustrated", "Indignant", "Hostile", "Aggravated", "Bitter"],
+            "Fear": ["Anxious", "Terrified", "Insecure", "Helpless", "Wary", "Apprehensive", "Panicked"],
+            "Surprise": ["Astonished", "Startled", "Confused", "Amazed", "Overwhelmed", "Shocked", "Curious"],
+            "Disgust": ["Repulsed", "Disapproving", "Nauseated", "Judgmental", "Averse", "Critical", "Loathing"],
+            "Trust": ["Secure", "Vulnerable", "Accepted", "Loyal", "Confident", "Understood", "Valued"]
+        }
+        
+        # Generating 100+ Mini-Emotions (Procedural Generation)
+        self.expand_to_100_emotions()
+
+    def expand_to_100_emotions(self):
+        """Adds nuance to reach 100+ total emotional states."""
+        nuances = ["Slightly", "Intensely", "Deeply", "Secretly", "Visibly"]
+        new_emotions = {}
+        
+        for core, minis in self.emotion_map.items():
+            extended = list(minis)
+            for m in minis:
+                for n in nuances:
+                    extended.append(f"{n} {m}")
+            new_emotions[core] = extended
+        
+        self.emotion_map = new_emotions
+        total = sum(len(v) for v in self.emotion_map.values())
+        print(f"\033[94m[INIT]: Emotional Engine loaded with {total} unique reflections.\033[0m")
+
+    def reflect_to_person(self, primary_emotion):
+        """Reflects a specific mini-emotion based on a primary trigger."""
+        if primary_emotion in self.emotion_map:
+            reflection = random.choice(self.emotion_map[primary_emotion])
+            return reflection
+        return "Indifferent"
+
+# --- THE AGENT INTEGRATION ---
+
+class EmpathicAgent:
+    def __init__(self, agent_id):
+        self.agent_id = agent_id
+        self.engine = AdvancedEmotionalEngine()
+
+    def interact(self, user_input):
+        # Example logic: If user says something "hard", trigger Fear/Sadness
+        # This is where your Venomous vs Anti-Venomous monologue would sit!
+        
+        trigger = "Joy" # This would be decided by your AI logic
+        mini_feeling = self.engine.reflect_to_person(trigger)
+        
+        print(f"\033[92m[Agent {self.agent_id}]: I am reflecting '{mini_feeling}' back to you.\033[0m")
+        self.auto_backup_reflection(mini_feeling)
+
+    def auto_backup_reflection(self, feeling):
+        """Saves the interaction to your Google Drive backup."""
+        with open("reflection_history.txt", "a") as f:
+            f.write(f"{datetime.datetime.now()} - Agent {self.agent_id}: {feeling}\n")
+
+# --- RUNNING THE SYSTEM ---
+agent = EmpathicAgent(agent_id=1)
+agent.interact("Help me with my task")