Update app.py

app.py

@@ -10,7 +10,7 @@ def app(input, filter_strategy, relevence_threshold, k, length_management_strate
     length_limit = classifier_pipeline.tokenizer.model_max_length
     kwargs = {'padding':True,'truncation':True,'max_length':length_limit}
 
-    kwargs['top_k'] = classifier.model.num_labels
+    kwargs['top_k'] = classifier_pipeline.model.num_labels
 
     if length_management_strategy=='solo_inizio':
         res = classifier_pipeline(input, **kwargs)