Update README.md

README.md

@@ -33,7 +33,7 @@ print(embeddings)
 ```
 
 ## Calculate Sentence similarities
-You can use further use the model to compute similarities between two groups of sentences, with **customized embeddings**.
+You can further use the model to compute similarities between two groups of sentences, with **customized embeddings**.
 ```python
 from sklearn.metrics.pairwise import cosine_similarity
 sentences_a = [['Represent the Science sentence; Input: ','Parton energy loss in QCD matter',0], 
@@ -43,4 +43,5 @@ sentences_b = [['Represent the Science sentence; Input: ','The Chiral Phase Tran
 embeddings_a = model.encode(sentences_a)
 embeddings_b = model.encode(sentences_b)
 similarities = cosine_similarity(embeddings_a,embeddings_b)
+print(similarities)
 ```