change model to bert basic

app.py

@@ -13,7 +13,7 @@ from tqdm import tqdm
 from torch import nn
 from transformers import BertModel
 
-from transformers import AutoTokenizer
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
 
 import argparse
 
@@ -243,7 +243,9 @@ def all_process(origin_essay):
         answer = question_answerer(question=question, context=row)
         row_dict[row] = answer
     emo2idx, idx2emo = get_sent_labeldata()
-    tokenizer, cls_model = load_model()
+    #tokenizer, cls_model = load_model()
+    tokenizer = AutoTokenizer.from_pretrained('bert-base-multilingual-cased')
+    cls_model = AutoModelForSequenceClassification.from_pretrained('bert-base-multilingual-cased')
     final_result, file_name_dt = get_word_emotion_pair(cls_model, essay_sent)
     all_result, adj_result, noun_result, essay_summary, file_made_dt_str = get_essay_base_analysis(file_name_dt)