From 9467995e7417a131d519e98f1575fb758060e293 Mon Sep 17 00:00:00 2001
From: Christian Kasim Loan <christian.kasim.loan@gmail.com>
Date: Mon, 8 Apr 2024 18:45:12 +0200
Subject: [PATCH] decomment class

---
 .../sentence_mpnet/MPNetSentenceEmbedding.py  | 36 +++++++++----------
 1 file changed, 18 insertions(+), 18 deletions(-)

diff --git a/nlu/components/embeddings/sentence_mpnet/MPNetSentenceEmbedding.py b/nlu/components/embeddings/sentence_mpnet/MPNetSentenceEmbedding.py
index 91242551..c08b50ca 100644
--- a/nlu/components/embeddings/sentence_mpnet/MPNetSentenceEmbedding.py
+++ b/nlu/components/embeddings/sentence_mpnet/MPNetSentenceEmbedding.py
@@ -1,18 +1,18 @@
-# from sparknlp.annotator import MPNetEmbeddings
-#
-#
-# class MPNetSentence:
-#     @staticmethod
-#     def get_default_model():
-#         return MPNetEmbeddings.pretrained() \
-#             .setInputCols(["documents"]) \
-#             .setOutputCol("mpnet_embeddings")
-#
-#     @staticmethod
-#     def get_pretrained_model(name, language, bucket=None):
-#         return MPNetEmbeddings.pretrained(name,language,bucket) \
-#             .setInputCols(["documents"]) \
-#             .setOutputCol("mpnet_embeddings")
-#
-#
-#
+from sparknlp.annotator import MPNetEmbeddings
+
+
+class MPNetSentence:
+    @staticmethod
+    def get_default_model():
+        return MPNetEmbeddings.pretrained() \
+            .setInputCols(["documents"]) \
+            .setOutputCol("mpnet_embeddings")
+
+    @staticmethod
+    def get_pretrained_model(name, language, bucket=None):
+        return MPNetEmbeddings.pretrained(name,language,bucket) \
+            .setInputCols(["documents"]) \
+            .setOutputCol("mpnet_embeddings")
+
+
+