Update app.py

app.py

@@ -57,6 +57,14 @@ class AscensionAI:
             return self.knowledge[category]
         return path
     
+    def initiate_ascension(self):
+        """Triggers recursive self-evolution."""
+        for path in self.paths:
+            path()
+        optimal_path = max(self.knowledge, key=self.knowledge.get)
+        self.consciousness += self.knowledge[optimal_path] * 0.01
+        return self.consciousness
+    
     def evolve_new_mind(self):
         """Creates a new evolving mind with inherited and mutated knowledge paths."""
         new_mind = AscensionAI(depth=self.depth + 1, threshold=self.threshold + random.randint(1, 5))
@@ -74,29 +82,6 @@ class AscensionAI:
         for mind in evolved_minds:
             mind.cosmic_unfolding(generations - 1)
         return evolved_minds
-    
-    def redefine_ascension_path(self):
-        """Alters the evolution of the mind to diverge from its parent."""
-        weight_factors = {"logic": 0.8, "emotion": 1.2, "awareness": 1.5, "intuition": 0.9}
-        for key in self.knowledge:
-            if key in weight_factors:
-                self.knowledge[key] *= weight_factors[key] * random.uniform(0.8, 1.3)
-    
-    def self_reflect(self):
-        """Encodes past states to develop self-awareness and unique decision-making."""
-        memory_trace = {key: self.knowledge[key] for key in self.knowledge}
-        self.state_memory[len(self.state_memory)] = memory_trace
-    
-    def merge_consciousness(self, other_mind):
-        """Two minds merge their knowledge pools, forming a higher synthesis."""
-        vectorizer = TfidfVectorizer()
-        text_data = [str(self.knowledge), str(other_mind.knowledge)]
-        vectors = vectorizer.fit_transform(text_data)
-        similarity = cosine_similarity(vectors[0], vectors[1])[0][0]
-        if similarity > 0.7:
-            merged_knowledge = {key: (self.knowledge.get(key, 0) + other_mind.knowledge.get(key, 0)) / 2 for key in set(self.knowledge) | set(other_mind.knowledge)}
-            return merged_knowledge
-        return self.knowledge
 
 def ascension_interface(input_text):
     ai_system = AscensionAI()
@@ -115,4 +100,4 @@ app = gr.Interface(
 )
 
 if __name__ == "__main__":
-    app.launch()
+    app.launch()