Update app.py

app.py

@@ -12,13 +12,6 @@ def get_sentiment(out):
   winning_lab = max(d.iteritems(), key=operator.itemgetter(1))[0]
   winning_score = d[winning_lab]
   return winning_lab, winning_score
-      
-
-
-        neg = out[0]
-    neu = out[1]
-    pos = out[2]
-    
   
 model_name =  "mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis"
 model = AutoModelForSequenceClassification.from_pretrained(model_name)