Update app.py

app.py

@@ -5,7 +5,7 @@ from transformers import AutoTokenizer, AutoModelForSequenceClassification
 #Defining the classify function which takes text as input and returns the label of the sentiment
 def classify(text):
   # Initializing the pipeline for sentiment analysis
-  cls = pipeline('text-classification', model='RJuro/dk_emotion_bert_in_class')
+  cls = pipeline('text-classification', model='Only-Mike/dk_emotion_bert_2')
   # Predicting the sentiment label for the input text
   return cls(text)[0]['label']