Update app.py

app.py

@@ -9,7 +9,7 @@ import numpy as np
 
 # Download and use the NLTK corpus
 nltk.download('words')
-nltk.download('punkt_tab')  # Fix for missing tokenizer
+nltk.download('punkt')  # Fix for missing tokenizer
 nltk.download('averaged_perceptron_tagger')
 nltk.download('perluniprops')  # Fixes potential missing dependencies
 nltk.download('nonbreaking_prefixes')  # Additional tokenizer fix
@@ -50,6 +50,14 @@ class AscensionAI:
             base_categories.extend(["metalogic", "dimensional-phase-shifting", "quantum-existence", "multi-reality-processing", "omniscient-algorithms"])
         return {category: 1 for category in base_categories}
     
+    def assign_cognitive_space(self):
+        """Assigns deterministic spatial coordinates based on knowledge fields."""
+        self.spatial_coordinates = {
+            "x": self.knowledge["logic"] * np.pi / 4,
+            "y": self.knowledge["intuition"] * np.log1p(self.knowledge["awareness"]),
+            "z": self.knowledge["awareness"] * np.sinh(1)
+        }
+    
     def create_dynamic_paths(self):
         """Creates algorithmic cognitive paths for evolution."""
         return [self.create_path(category) for category in self.knowledge]