repo_type change

cluster_predictor.py

@@ -8,9 +8,16 @@ import json
 from huggingface_hub import hf_hub_download
 
 # Hugging Face dataset repo에서 prompt 파일 로드
-PROMPT_PATH = hf_hub_download("Syngyeon/seoulalpha-data", "data/prompt/custom_prompt_eng.txt")
-FEWSHOT_PATH = hf_hub_download("Syngyeon/seoulalpha-data", "data/prompt/custom_few_shot_learning_multi_language.txt")
-
+PROMPT_PATH = hf_hub_download(
+    repo_id="Syngyeon/seoulalpha-data",
+    repo_type="dataset",   # ✅ 반드시 dataset으로 지정
+    filename="data/prompt/custom_prompt_eng.txt"
+)
+FEWSHOT_PATH = hf_hub_download(
+    repo_id="Syngyeon/seoulalpha-data",
+    repo_type="dataset",   # ✅ 반드시 dataset으로 지정
+    filename="data/prompt/custom_few_shot_learning_multi_language.txt"
+)
 # --- 초기 설정 ---
 client = OpenAI(api_key=os.getenv("API_KEY"))
 

rag_retriever.py

@@ -24,8 +24,9 @@ def _load_resources():
         print("1. Hugging Face Hub에서 RAG 리소스를 다운로드합니다...")
 
         # HF repo에서 파일 다운로드
-        index_path = hf_hub_download(repo_id=DATA_REPO, filename="data/faiss/faiss_merged_output/merged.index")
-        metadata_path = hf_hub_download(repo_id=DATA_REPO, filename="data/faiss/faiss_merged_output/merged_metadata.jsonl")
+        index_path = hf_hub_download(repo_id=DATA_REPO, repo_type="dataset", filename="data/faiss/faiss_merged_output/merged.index")
+        metadata_path = hf_hub_download(repo_id=DATA_REPO, repo_type="dataset", filename="data/faiss/faiss_merged_output/merged_metadata.jsonl")
+        
         # 임베딩 모델 로드
         model = SentenceTransformer(MODEL_NAME)
 

region_extractor.py

@@ -11,9 +11,9 @@ MODEL_NAME = "jhgan/ko-sbert-nli"
 # 로드
 def _load_region_index():
     try:
-        index_path = hf_hub_download(repo_id=DATA_REPO, filename="data/faiss/region_db/faiss_region_semantic.index")
-        metadata_path = hf_hub_download(repo_id=DATA_REPO, filename="data/faiss/region_db/metadata_region_semantic.jsonl")
-
+        index_path = hf_hub_download(repo_id=DATA_REPO, repo_type="dataset", filename="data/faiss/region_db/faiss_region_semantic.index")
+        metadata_path = hf_hub_download(repo_id=DATA_REPO, repo_type="dataset", filename="data/faiss/region_db/metadata_region_semantic.jsonl")
+        
         index = faiss.read_index(index_path)
         model = SentenceTransformer(MODEL_NAME)