Update app.py

app.py

@@ -7,7 +7,7 @@ from transformers_interpret import SequenceClassificationExplainer
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
 
 st.title('Ethical Judgment Classifier')
-st.write('This app uses a pre-trained Distilbert model fine-tuned on the Commonsense Ethics dataset from the Aligning AI With Shared Human Values project (for more information, see https://github.com/hendrycks/ethics). It judges whether a given action of scenario is wrong or not wrong and uses transformers-interpret (https://pypi.org/project/transformers-interpret/) to show how the words in your scenario affected the model\'s judgment.')
+st.write('This app uses a pre-trained Distilbert model fine-tuned on the Commonsense and Justice datasets from the Aligning AI With Shared Human Values project (for more information, see https://github.com/hendrycks/ethics). It judges whether a given action of scenario is wrong or not wrong and uses transformers-interpret (https://pypi.org/project/transformers-interpret/) to show how the words in your scenario affected the model\'s judgment.')
 
 loaded_model = DistilBertForSequenceClassification.from_pretrained('distilbert')
 model_name = 'distilbert-base-uncased'