Raiff1982 commited on
Commit
e1d648f
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1 Parent(s): 983ec60

Update AI_core.py

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Files changed (1) hide show
  1. AI_core.py +5 -6
AI_core.py CHANGED
@@ -2,8 +2,7 @@ import os
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  import json
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  from typing import Optional
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- # === Core Imports from Your Modules === #
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- from components.ethics import EthicalAIGovernance
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  from sentiment_analysis import EnhancedSentimentAnalyzer
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  from elements import Element # You may have multiple Element types
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  from self_improving_ai import SelfImprovingAI
@@ -19,7 +18,7 @@ from quantum_spiderweb import QuantumSpiderweb
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  class AICore:
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  def __init__(self, config_path: str = "Codetteconfig.json"):
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- self.config = self._load_config(config_path)
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  self.memory = CognitionCocooner()
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  self.ethics = EthicalAIGovernance()
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  self.sentiment = EnhancedSentimentAnalyzer()
@@ -33,13 +32,13 @@ class AICore:
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  self.self_improving = SelfImprovingAI()
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  self.elements = [] # To be filled with Element() instances
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- def _load_config(self, path: str) -> dict:
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  if os.path.exists(path):
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  with open(path, 'r') as f:
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  return json.load(f)
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  return {}
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- def _init_optimizer(self):
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  # Placeholder example objective function
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  def objective_fn(vec):
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  return sum(x**2 for x in vec)
@@ -63,7 +62,7 @@ class AICore:
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  if __name__ == "__main__":
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- codette = AICore()
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  sample = "What does it mean to be sentient?"
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  response = codette.process_input(sample)
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  print(response)
 
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  import json
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  from typing import Optional
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+ from components.ethics import EthicalAIGovernance
 
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  from sentiment_analysis import EnhancedSentimentAnalyzer
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  from elements import Element # You may have multiple Element types
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  from self_improving_ai import SelfImprovingAI
 
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  class AICore:
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  def __init__(self, config_path: str = "Codetteconfig.json"):
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+ self.config = self.load_config(config_path)
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  self.memory = CognitionCocooner()
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  self.ethics = EthicalAIGovernance()
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  self.sentiment = EnhancedSentimentAnalyzer()
 
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  self.self_improving = SelfImprovingAI()
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  self.elements = [] # To be filled with Element() instances
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+ def load_config(self, path: str) -> dict:
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  if os.path.exists(path):
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  with open(path, 'r') as f:
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  return json.load(f)
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  return {}
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+ def optimizer(self):
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  # Placeholder example objective function
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  def objective_fn(vec):
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  return sum(x**2 for x in vec)
 
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  if __name__ == "__main__":
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+ codette = AI_Core()
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  sample = "What does it mean to be sentient?"
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  response = codette.process_input(sample)
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  print(response)