Update app.py

app.py

@@ -84,6 +84,13 @@ def summarize_text(text):
 def split_in_sentences(text):
     doc = nlp(text)
     return [str(sent).strip() for sent in doc.sents]
+def make_spans(text,results):
+    results_list = []
+    for i in range(len(results)):
+        results_list.append(results[i]['label'])
+    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):