Upload app.py

app.py

@@ -71,7 +71,11 @@ 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_kwargs={"device": "cuda"})
+embeddings = HuggingFaceInstructEmbeddings(
+    model_name="sentence-transformers/all-MiniLM-L6-v2",  
+    cache_folder="./sentence-transformers/all-MiniLM-L6-v2",
+    model_kwargs={"device": "auto"}
+    )
 
 # 벡터DB 로드
 path_work ='.'