fixes to paths

inference.py

@@ -163,14 +163,17 @@ def preprocess_image(image_path: str, meta: dict) -> torch.Tensor:
 
 
 # ─── Model Loader (singleton) ──────────────────────────────────────────────────
-
+weights_path = 'trainedmodels/Model.pth'
+meta_path = 'trainedmodels/Model.json'
+device = 'cpu'
 _model_cache = {}
 
-def load_model(weights_path: str, device: str = "cpu") -> tuple:
+def load_model(weights_path, device, meta_path) -> tuple:
     if weights_path in _model_cache:
         return _model_cache[weights_path]
 
-    meta_path = Path(weights_path).with_suffix(".json")
+    if meta_path is None:
+        meta_path = Path(weights_path).with_suffix(".json")
     with open(meta_path) as f:
         meta = json.load(f)