Update app.py

app.py

@@ -7,7 +7,7 @@ import pandas as pd
 import time
 from cnocr import CnOcr
 from sentence_transformers import SentenceTransformer, models, util
-word_embedding_model = models.Transformer('uer/sbert-base-chinese-nli', do_lower_case=True)
+word_embedding_model = models.Transformer('sentence-transformers/all-MiniLM-L6-v2', do_lower_case=True)
 pooling_model = models.Pooling(word_embedding_model.get_word_embedding_dimension(), pooling_mode='cls')
 embedder = SentenceTransformer(modules=[word_embedding_model, pooling_model])
 ocr = CnOcr()