Delete pages/4_🧠_신규벡터추천.py

pages/4_🧠_신규벡터추천.py

@@ -1,23 +0,0 @@
-import streamlit as st
-import numpy as np
-from sklearn.metrics.pairwise import cosine_similarity
-from utils import load_data
-
-st.title("🧠 신규 공연벡터 → 공연장 추천")
-
-df = load_data()
-
-vec_input = st.text_input("공연벡터 입력 (예: [0.2, 0.8, 0.0])")
-
-if vec_input:
-    try:
-        vec = np.array([eval(vec_input)])
-        mat = np.stack(df["공연벡터"].values)
-        sims = cosine_similarity(vec, mat)[0]
-        top_k = sims.argsort()[-5:][::-1]
-
-        for i in top_k:
-            r = df.iloc[i]
-            st.markdown(f"🎵 **{r['공연명']}** → **{r['공연시설명(fcltynm)']}** (유사도: {sims[i]:.3f})")
-    except:
-        st.error("올바른 벡터 형식을 입력해주세요.")