Update app.py

app.py

@@ -11,8 +11,8 @@ from nltk.tokenize import sent_tokenize
 from fin_readability_sustainability import BERTClass, do_predict
 import pandas as pd
 import en_core_web_sm
-from fincat_utils import extract_context_words
-from fincat_utils import bert_embedding_extract
+#from fincat_utils import extract_context_words
+#from fincat_utils import bert_embedding_extract
 from score_fincat import score_fincat
 import pickle
 #lr_clf = pickle.load(open("lr_clf_FiNCAT.pickle",'rb'))
@@ -41,9 +41,6 @@ def get_sustainability(text):
   return highlight
 #SUSTAINABILITY ENDS
 
-#CLAIM STARTS
-
-
 
 ##Summarization
 summarizer = pipeline("summarization", model="knkarthick/MEETING_SUMMARY") 
@@ -52,7 +49,7 @@ def summarize_text(text):
     stext = resp[0]['summary_text']
     return stext
 
-
+##Forward Looking Statement
 def split_in_sentences(text):
     doc = nlp(text)
     return [str(sent).strip() for sent in doc.sents]
@@ -63,7 +60,7 @@ def make_spans(text,results):
     facts_spans = []
     facts_spans = list(zip(split_in_sentences(text),results_list))
     return facts_spans    
-##Forward Looking Statement
+
 fls_model = pipeline("text-classification", model="yiyanghkust/finbert-fls", tokenizer="yiyanghkust/finbert-fls")
 def fls(text):
     results = fls_model(split_in_sentences(text))