Update app.py

app.py

@@ -76,16 +76,6 @@ if st.button('Submit'):
    # st.write(output)   
 #encoding = tokenizer(text, return_tensors="pt")
 #import numpy as np
-st.write("The model for this app has been trained using data from Dutch news articles published by NOS. For more information see: https://www.kaggle.com/maxscheijen/dutch-news-articles")
+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')
-
-#arr = np.random.normal(1, 1, size=100)
-#fig, ax = plt.subplots()
-#ax.hist(arr, bins=20)
-
-#st.pyplot(fig)
-
-# forward pass
-#outputs = model(**encoding)
-#predictions = outputs.logits.argmax(-1)