Update app.py

app.py

@@ -12,7 +12,7 @@ from sklearn.metrics.pairwise import cosine_similarity
 tokenizer = BertTokenizer.from_pretrained(r'./model')
 model = BertForSequenceClassification.from_pretrained(r'./model', num_labels = 6)
 
-labels = ['伤感', '快乐', '励志', '宣泄', '平静', '感人']
+labels = ['伤感（sadness）', '快乐（happiness）', '励志（inspiration）', '宣泄（catharsis）', '平静（placid）', '感人（touching）']
 
 def preprocess(temp):
     temp = re.sub(u"\n\n", "\n", temp)