Update app.py

app.py

@@ -5,8 +5,9 @@ from transformers import pipeline
 from transformers.pipelines.token_classification import TokenClassificationPipeline
 import py_vncorenlp
 
-py_vncorenlp.download_model(save_dir='/')
-rdrsegmenter = py_vncorenlp.VnCoreNLP(annotators=["wseg"], save_dir='/')
+os.mkdir('vncorenlp')
+py_vncorenlp.download_model(save_dir='/vncorenlp')
+rdrsegmenter = py_vncorenlp.VnCoreNLP(annotators=["wseg"], save_dir='/vncorenlp')
 
 class MyPipeline(TokenClassificationPipeline):
   def preprocess(self, sentence, offset_mapping=None):