Add sentence-transformers library to requirements.txt and comment out model_name in base.py

application/requirements.txt

@@ -24,6 +24,7 @@ python-dotenv==1.0.1
 redis==5.0.1
 Requests==2.31.0
 retry==0.9.2
+sentence-transformers
 tiktoken==0.5.2
 torch==2.1.2
 tqdm==4.66.1

application/vectorstore/base.py

@@ -46,7 +46,7 @@ class BaseVectorStore(ABC):
             )
         elif embeddings_name == "huggingface_sentence-transformers/all-mpnet-base-v2":
             embedding_instance = embeddings_factory[embeddings_name](
-                model_name="./model/all-mpnet-base-v2",
+                #model_name="./model/all-mpnet-base-v2",
                 model_kwargs={"device": "cpu"},
             )
         else: