From d5ddf636250cecda58a10194b2d0844e7387cfe6 Mon Sep 17 00:00:00 2001 From: Caiyishuai <39987654+Caiyishuai@users.noreply.github.com> Date: Tue, 28 Nov 2023 20:10:33 +0800 Subject: [PATCH] =?UTF-8?q?=E6=B3=A8=E9=87=8A=E4=BA=86=E4=B8=80=E4=BA=9B?= =?UTF-8?q?=E4=B8=8D=E5=BF=85=E8=A6=81=E7=9A=84=E8=BE=93=E5=87=BA?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- robowaiter/behavior_lib/act/DealChat.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/robowaiter/behavior_lib/act/DealChat.py b/robowaiter/behavior_lib/act/DealChat.py index d028332..ae854bc 100644 --- a/robowaiter/behavior_lib/act/DealChat.py +++ b/robowaiter/behavior_lib/act/DealChat.py @@ -127,12 +127,12 @@ class DealChat(Act): for item in self.scene.status.objects: cur_things.add(self.scene.objname_en2zh_dic[item.name]) # obj与现有物品进行相似度匹配 中文的匹配 - print("==========obj==========:",obj) + # print("==========obj==========:",obj) query_token = nlp_zh(obj) for w in cur_things: word_token = nlp_zh(w) similarity = query_token.similarity(word_token) - print("similarity:", similarity, w) + # print("similarity:", similarity, w) if similarity > max_similarity: max_similarity = similarity similar_word = w