Update app.py

app.py

@@ -81,13 +81,13 @@ if st.button('Submit'):
         ax.set_ylabel("Predicted category")
         st.pyplot(fig)
         
-        st.write('The predicted category is: {} with a probability of: {:.1f}%'.format(labels_plot[number],(probs_plot[predictions])*1))
+        st.write('The predicted category is: **{}** with a probability of: {:.1f}%'.format(labels_plot[number],(probs_plot[predictions])*1))
    #     output = genQuestion(option, input)
    #     print(output)
    # st.write(output)   
 #encoding = tokenizer(text, return_tensors="pt")
 #import numpy as np
-st.write("* The predefined categories are Binnenland, Buitenland, Cultuur & Media, Economie , Koningshuis, Opmerkelijk, Politiek, 'Regionaal nieuws en Tech")
+st.write("The pre-defined categories are Binnenland, Buitenland, Cultuur & Media, Economie , Koningshuis, Opmerkelijk, Politiek, 'Regionaal nieuws en Tech")
 st.write("The model for this app has been trained using data from Dutch news articles published by NOS. For more information regarding the dataset can be found at https://www.kaggle.com/maxscheijen/dutch-news-articles")
 #st.write('\n')
 st.write('The model performance details can be found at https://huggingface.co/RuudVelo/dutch_news_classifier_bert_finetuned')