Create app.py

app.py

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+from fastapi import FastAPI, HTTPException
+import faiss
+import numpy as np
+from sentence_transformers import SentenceTransformer
+from datasets import load_dataset
+
+app = FastAPI()
+
+# 1. 임베딩 모델 로드
+embed_model = SentenceTransformer("all-MiniLM-L6-v2")
+
+# 2. Hugging Face에서 MedRAG 데이터셋 로드
+dataset = load_dataset("MedRAG/textbooks", split="train", streaming=True)
+
+# 3. 데이터 변환
+texts = [entry["content"] for entry in dataset]  # "content" 필드 활용