로컬 파일로 app.py 강제 overwrite (MCP)

app.py

@@ -1,21 +1,12 @@
 import streamlit as st
 import os
 from pinecone import Pinecone
-from typing import List, Dict
-import logging
-
-# Compatibility shim for older huggingface_hub versions
-try:
-    from huggingface_hub import cached_download
-except Exception:
-    from huggingface_hub import hf_hub_download as cached_download
-    import huggingface_hub
-    huggingface_hub.cached_download = hf_hub_download
-
 from sentence_transformers import SentenceTransformer
+from typing import List, Dict
 import re # For parsing timestamp and extracting video ID
 import streamlit.components.v1 as components # For embedding HTML
 from openai import OpenAI # Import OpenAI library
+import logging
 
 # Setup logging
 logging.basicConfig(level=logging.INFO)
@@ -93,7 +84,7 @@ def generate_youtube_embed_html(youtube_url: str, timestamp: str) -> str | None:
 PINECONE_API_KEY = os.getenv("PINECONE_API_KEY","pcsk_PZHLK_TRAvMCyNmJM4FKGCX7rbbY22a58fhnWYasx1mf3WL6sRasoASZXfsbnJYvCQ13w") # Load from environment variable
 PINECONE_ENV = os.getenv("PINECONE_ENV", "us-east-1")
 INDEX_NAME = "video-embeddings"
-EMBEDDING_MODEL_ID = 'jhgan/ko-sroberta-multitask' # 모델 ID로 변경
+EMBEDDING_MODEL = "jhgan/ko-sroberta-multitask"
 
 # OpenAI 설정
 OPENAI_API_KEY = "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"
@@ -118,8 +109,8 @@ def init_pinecone():
 def load_embedding_model():
     """Sentence Transformer 모델을 로드합니다."""
     try:
-        model = SentenceTransformer(EMBEDDING_MODEL_ID) # 수정된 모델 ID 사용
-        logger.info(f"Successfully loaded embedding model: {EMBEDDING_MODEL_ID}") # 수정된 모델 ID 사용
+        model = SentenceTransformer(EMBEDDING_MODEL)
+        logger.info(f"Successfully loaded embedding model: {EMBEDDING_MODEL}")
         return model
     except Exception as e:
         st.error(f"임베딩 모델 로딩 중 오류 발생: {e}")