Upload app.py

app.py

@@ -72,9 +72,9 @@ llm = CustomInferenceClient(model_name=model_name, hf_token=hf_token, kwargs=kwa
 # 임베딩 객체 생성
 from langchain.embeddings import HuggingFaceInstructEmbeddings
 embeddings = HuggingFaceInstructEmbeddings(
-    model_name="sentence-transformers/all-MiniLM-L6-v2",  
+    # model_name="sentence-transformers/all-MiniLM-L6-v2",  
     cache_folder="./sentence-transformers/all-MiniLM-L6-v2",
-    model_kwargs={"device": "auto"}
+    model_kwargs={"device": "cpu"}
     )
 
 # 벡터DB 로드