Add sentence-transformer local text embedding supports

test/test_embedding.py

@@ -67,11 +67,13 @@ def test_st():
     ]
 
     # Compute embeddings
+
     #embeddings = model.encode(sentences, convert_to_tensor=True)
     embeddings = model.encode(sentences)
     print("embeddings as follows: ")
     print(embeddings)
 
+
     # Compute cosine-similarities for each sentence with each other sentence
     cosine_scores = util.cos_sim(embeddings, embeddings)