Upload app.py

app.py

@@ -20,20 +20,20 @@ stsb_dataset = load_dataset('stsb_multi_mt', 'en')
 stsb_train = pd.DataFrame(stsb_dataset['train'])
 stsb_test = pd.DataFrame(stsb_dataset['test'])
 
-# let's create helper functions
-nlp = spacy.load("en_core_web_sm")
+# # let's create helper functions
+# nlp = spacy.load("en_core_web_sm")
 
 
-def text_processing(sentence):
-    sentence = [token.lemma_.lower()
-                for token in nlp(sentence)
-                if token.is_alpha and not token.is_stop]
-    return sentence
+# def text_processing(sentence):
+#     sentence = [token.lemma_.lower()
+#                 for token in nlp(sentence)
+#                 if token.is_alpha and not token.is_stop]
+#     return sentence
 
 
-def cos_sim(sentence1_emb, sentence2_emb):
-    cos_sim = cosine_similarity(sentence1_emb, sentence2_emb)
-    return np.diag(cos_sim)
+# def cos_sim(sentence1_emb, sentence2_emb):
+#     cos_sim = cosine_similarity(sentence1_emb, sentence2_emb)
+#     return np.diag(cos_sim)
 
 
 # let's read the csv file