fix: add model paths and class names for ONNX models in model_loader

utils/model_loader.py

@@ -15,6 +15,31 @@ import torch
 import numpy as np
 from PIL import Image
 
+
+# Model paths and class names (copied from app_mcp.py)
+MODEL_PATHS = {
+    "model_1": "LPX55/detection-model-1-ONNX",
+    "model_2": "LPX55/detection-model-2-ONNX",
+    "model_3": "LPX55/detection-model-3-ONNX",
+    "model_4": "cmckinle/sdxl-flux-detector_v1.1",
+    "model_5": "LPX55/detection-model-5-ONNX",
+    "model_6": "LPX55/detection-model-6-ONNX",
+    "model_7": "LPX55/detection-model-7-ONNX",
+    "model_8": "aiwithoutborders-xyz/CommunityForensics-DeepfakeDet-ViT"
+}
+
+CLASS_NAMES = {
+    "model_1": ['artificial', 'real'],
+    "model_2": ['AI Image', 'Real Image'],
+    "model_3": ['artificial', 'human'],
+    "model_4": ['AI', 'Real'],
+    "model_5": ['Realism', 'Deepfake'],
+    "model_6": ['ai_gen', 'human'],
+    "model_7": ['Fake', 'Real'],
+    "model_8": ['Fake', 'Real'],
+}
+
+
 # Cache for ONNX sessions and preprocessors
 _onnx_model_cache = {}