p

app_utils.py

@@ -32,9 +32,9 @@ from wordcloud import WordCloud
 
 import base64
 import time
-stanford_ner_jar = '/Users/ujjwalbansal/Desktop/Summary-app/stanford-ner-2020-11-17/stanford-ner.jar'
+stanford_ner_jar = 'stanford-ner.jar'
 # Path to the pre-trained NER model file
-stanford_ner_model = '/Users/ujjwalbansal/Desktop/Summary-app/stanford-ner-2020-11-17/classifiers/english.all.3class.distsim.crf.ser.gz'
+stanford_ner_model = 'english.all.3class.distsim.crf.ser.gz'
 
 timestr = time.strftime("%Y%m%d-%H%M%S")