update model_config.py

configs/model_config.py

 import torch.cuda
 import torch.backends
-
+import os
 
 embedding_model_dict = {
     "ernie-tiny": "nghuyong/ernie-3.0-nano-zh",
@@ -31,7 +31,7 @@ USE_PTUNING_V2 = False
 # LLM running device
 LLM_DEVICE = "cuda" if torch.cuda.is_available() else "mps" if torch.backends.mps.is_available() else "cpu"
 
-VS_ROOT_PATH = "./vector_store/"
+VS_ROOT_PATH = os.path.join(os.path.dirname(os.path.dirname(__file__)), "vector_store")
 
-UPLOAD_ROOT_PATH = "./content/"
+UPLOAD_ROOT_PATH = os.path.join(os.path.dirname(os.path.dirname(__file__)), "content")