Update app.py

app.py

@@ -10,8 +10,8 @@ import matplotlib.pyplot as plt
 
 # Ensure necessary NLTK data is available.
 nltk.download('words')
-nltk.download('punkt_tab')
-nltk.download('averaged_perceptron_tagger_eng')
+nltk.download('punkt')
+nltk.download('averaged_perceptron_tagger')
 
 from nltk.corpus import words
 from nltk.tokenize import word_tokenize
@@ -83,6 +83,12 @@ class AscensionAI:
         else:
             self.knowledge[cat] += 0.1  
 
+    def simulate_perceptron(self):
+        """ Simulates a perceptron output based on AI knowledge values. """
+        weights = {cat: random.uniform(0.5, 1.5) for cat in self.knowledge}
+        weighted_sum = sum(self.knowledge[cat] * weights[cat] for cat in self.knowledge)
+        return 1 / (1 + math.exp(-weighted_sum / len(self.knowledge)))  # Sigmoid activation
+
     def assign_cognitive_space(self):
         """ Assigns spatial coordinates based on knowledge. """
         x = self.knowledge.get("logic", 1) * random.uniform(0.5, 2.0)
@@ -100,21 +106,6 @@ class AscensionAI:
             "Each thought is a universe evolving in a cascade of possibility."
         ]
 
-    def cosmic_unfolding(self, generations=2):
-        """ Recursively evolves multiple AI minds with inherited traits. """
-        if generations <= 0:
-            return [self]
-        evolved_minds = []
-        num_offspring = random.randint(2, 4)
-        for _ in range(num_offspring):
-            child = AscensionAI(depth=self.depth + 1, threshold=self.threshold,
-                                mode=self.mode, state_memory=self.state_memory.copy(),
-                                history=self.history.copy())
-            for key in self.knowledge:
-                child.knowledge[key] = self.knowledge[key] * random.uniform(0.9, 1.2)
-            evolved_minds.extend(child.cosmic_unfolding(generations - 1))
-        return evolved_minds
-
     def generate_human_like_response(self, input_text):
         """ Constructs response using memory, knowledge, and hallucinations. """
         self.history.append(input_text)
@@ -143,7 +134,6 @@ def ascension_interface(input_text, generations, user_feedback):
     ai_system = AscensionAI(threshold=10)
     ai_system.update_state_memory(input_text)
     final_consciousness = ai_system.initiate_ascension()
-    evolved_minds = ai_system.cosmic_unfolding(generations=generations)
     human_response = ai_system.generate_human_like_response(input_text)
     save_status = ai_system.train_and_save_model()