update to version 0.0.4

examples/base_demo.py

@@ -1,9 +1,7 @@
 # -*- coding: utf-8 -*-
 """
 @author:XuMing(xuming624@qq.com)
-@description:
-This basic example loads a pre-trained model from the web and uses it to
-compute cosine similarity for a given list of sentences.
+@description: 文本语义相似度计算和文本匹配搜索
 """
 import sys
 

examples/base_english_demo.py

@@ -1,7 +1,8 @@
 # -*- coding: utf-8 -*-
 """
 @author:XuMing(xuming624@qq.com)
-@description: 文本语义相似度计算
+@description: This basic example loads a matching model and use it to
+compute cosine similarity for a given list of sentences.
 """
 import sys
 

examples/fast_sim_demo.py

@@ -1,7 +1,7 @@
 # -*- coding: utf-8 -*-
 """
 @author:XuMing(xuming624@qq.com)
-@description: 
+@description: Fast similarity search demo
 """
 import os
 import sys

examples/gradio_demo.py

@@ -12,7 +12,7 @@ sim_model = WordEmbeddingSimilarity(wv_model)
 
 
 def ai_text(sentence1, sentence2):
-    score = sim_model.similarity(sentence1, sentence2).numpy()[0][0]
+    score = sim_model.similarity(sentence1, sentence2)
     print("{} \t\t {} \t\t Score: {:.4f}".format(sentence1, sentence2, score))
 
     return score