Update README.md

README.md

@@ -58,16 +58,23 @@ cos_sim = util.cos_sim(embeddings, embeddings)
 
 #Add all pairs to a list with their cosine similarity score
 all_sentence_combinations = []
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 for i in range(len(cos_sim)-1):
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     for j in range(i+1, len(cos_sim)):
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         all_sentence_combinations.append([cos_sim[i][j], i, j])
 
 #Sort list by the highest cosine similarity score
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 all_sentence_combinations = sorted(all_sentence_combinations, key=lambda x: x[0], reverse=True)
 
 print("Top-5 most similar pairs:")
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 for score, i, j in all_sentence_combinations[0:5]:
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     print("{} \t {} \t {:.4f}".format(sentences[i], sentences[j], cos_sim[i][j]))
 
 
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 # Github: [Sakil Ansari](https://github.com/Sakil786/hate_speech_detection_pretrained_model)