Update app.py

app.py

@@ -51,7 +51,6 @@ def embed_product_data(product_data):
     combined_embedding = torch.cat((text_embedding, category_embedding, color_embedding), dim=1)
     product_embedding = torch.nn.functional.adaptive_avg_pool1d(combined_embedding.unsqueeze(0), 512).squeeze(0)
 
-    print(f"Generated product_embedding shape: {product_embedding.shape}")  # Debugging
     return product_embedding.detach().numpy()
 
 # 사용자 타워: 데이터 임베딩
@@ -83,7 +82,6 @@ def embed_user_data(user_data):
     combined_embedding = torch.cat((age_embedding, gender_embedding, height_embedding, weight_embedding), dim=1)
     user_embedding = torch.nn.functional.adaptive_avg_pool1d(combined_embedding.unsqueeze(0), 512).squeeze(0)
 
-    print(f"Generated user_embedding shape: {user_embedding.shape}")
     return user_embedding.detach().numpy()
 
 # MongoDB Atlas에서 데이터 가져오기
@@ -172,5 +170,5 @@ def recommend_products_for_user(user_id, top_n=1):
 
 # 사용자 맞춤 추천 실행
 user_id_to_recommend = 1  # 추천할 사용자 ID
-top_n_recommendations = 1  # 추천 상품 개수
+top_n_recommendations = 2  # 추천 상품 개수
 recommended_products = recommend_products_for_user(user_id_to_recommend, top_n=top_n_recommendations)