pipeline
Browse files- app_utils.py +3 -3
app_utils.py
CHANGED
@@ -34,9 +34,9 @@ from wordcloud import WordCloud
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import base64
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import time
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stanford_ner_jar_path = 'stanford_model/stanford-ner.jar'
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# Path to the pre-trained NER model file
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stanford_ner_model_path ='stanford_model/english.all.3class.distsim.crf.ser.gz'
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timestr = time.strftime("%Y%m%d-%H%M%S")
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import base64
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import time
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# stanford_ner_jar_path = 'stanford_model/stanford-ner.jar'
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# # Path to the pre-trained NER model file
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# stanford_ner_model_path ='stanford_model/english.all.3class.distsim.crf.ser.gz'
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timestr = time.strftime("%Y%m%d-%H%M%S")
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