fix

AICoreAGIX_with_TB.py

@@ -1,5 +1,5 @@
 import os
-os.environ["HF_HUB_ENABLE_HF_TRANSFER"] = "0"
+# os.environ["HF_HUB_ENABLE_HF_TRANSFER"] = "0"
 os.environ["CUDA_VISIBLE_DEVICES"] = "-1"  # Prevent TensorFlow from trying to use CUDAimport os  # Make sure this is near the top of your file
 import base64
 import secrets
@@ -42,10 +42,6 @@ from autonomy_engine import AutonomyEngine
 from codette_bridge import CodetteBridge
 
 
-import os  # Make sure this is near the top of your file
-os.environ["CUDA_VISIBLE_DEVICES"] = "-1"  # Prevent TensorFlow from trying to use CUDA
-
-
 class AICoreAGIX:
     def __init__(self, config_path: str = "config.json"):
         self.self_trust_core = SelfTrustCore()
@@ -110,7 +106,7 @@ class AICoreAGIX:
         except Exception as e2:
             logger.warning(f"[Tokenizer Load]: Full fallback to gpt2 failed: {e2}")
             try:
-                return AutoTokenizer.from_pretrained("gpt2", local_files_only=True)
+                return AutoTokenizer.from_pretrained("gpt2", local_files_only=False)
             except Exception as e3:
                 logger.error(f"[Tokenizer Load]: Even fallback to GPT2 failed: {e3}")
                 raise RuntimeError("Tokenizer load completely failed.")
@@ -126,36 +122,6 @@ class AICoreAGIX:
             return AutoModelForCausalLM.from_pretrained("gpt2")
 
 
-        self.context_memory = self._initialize_vector_memory()
-        self.http_session = aiohttp.ClientSession()
-        self.database = Database()
-        self.multi_agent_system = MultiAgentSystem()
-        self.self_improving_ai = SelfImprovingAI()
-        self.neural_symbolic_engine = NeuroSymbolicEngine()
-        self.federated_ai = FederatedAI()
-        self.ethics_core = EthicsCore()
-        self.autonomy = AutonomyEngine()
-        self.codette_bridge = CodetteBridge(model_id="ft:gpt-4o-2024-08-06:raiffs-bits:pidette:B9TL")
-
-        self._codriao_key = self._generate_codriao_key()
-        self._fernet_key = Fernet.generate_key()
-        self._encrypted_codriao_key = Fernet(self._fernet_key).encrypt(self._codriao_key.encode())
-        self._codriao_journal = []
-        self._journal_key = Fernet.generate_key()
-        self._journal_fernet = Fernet(self._journal_key)
-
-        self._encryption_key = Fernet.generate_key()
-        secure_memory_module = load_secure_memory_module()
-        SecureMemorySession = secure_memory_module.SecureMemorySession
-        self.secure_memory_loader = SecureMemorySession(self._encryption_key)
-
-        self.speech_engine = pyttsx3.init()
-        self.health_module = CodriaoHealthModule(ai_core=self)
-        self.training_memory = []
-        self.quarantine_engine = QuarantineEngine()
-        self.anomaly_scorer = AnomalyScorer()
-        self.lockdown_engaged = False
-
         logger.info("[Codriao]: SelfTrustCore initialized. Fear is now filtered by self-consent.")
 
     def _load_config(self, config_path: str) -> dict: