refactor: reorganize agent structure by moving models to agents directory, update logging level, and enhance .gitignore for model files

.gitignore

@@ -7,3 +7,4 @@ forensics/__pycache__/*
 *.cpython-311.pyc
 *.cpython-312.pyc
 test.ipynb
+models/*

app_mcp.py

@@ -21,21 +21,21 @@ from utils.wavelet import wavelet_blocking_noise_estimation
 from utils.bitplane import bit_plane_extractor
 from utils.hf_logger import log_inference_data
 from utils.text_content import QUICK_INTRO, IMPLEMENTATION
-from models.monitoring_agents import EnsembleMonitorAgent, WeightOptimizationAgent, SystemHealthAgent
-from models.smart_agents import ContextualIntelligenceAgent, ForensicAnomalyDetectionAgent
+from agents.monitoring_agents import EnsembleMonitorAgent, WeightOptimizationAgent, SystemHealthAgent
+from agents.smart_agents import ContextualIntelligenceAgent, ForensicAnomalyDetectionAgent
 
 from forensics.registry import register_model, MODEL_REGISTRY, ModelEntry
-from models.weight_management import ModelWeightManager
+from agents.weight_management import ModelWeightManager
 from dotenv import load_dotenv
 
 # Configure logging
-logging.basicConfig(level=logging.DEBUG)
+logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger(__name__)
 os.environ['HF_HUB_CACHE'] = './models'
 
 
 load_dotenv()
-print(os.getenv("HF_HUB_CACHE"))
+# print(os.getenv("HF_HUB_CACHE"))
 
 # Ensure using GPU if available
 device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')