Moving news article links to the bottom

apps/classifier.py

@@ -21,38 +21,42 @@ def app():
  st.title("मराठी Marathi News Classifier")
 
  st.markdown(
- "This demo uses the below fine-tuned models for marathi news classification:\n"
+ "This demo uses the below fine-tuned models for marathi news classification:\
+"
  "- [IndicNLP Marathi News Classifier](https://huggingface.co/flax-community/mr-indicnlp-classifier) fine-tuned on "
- "[IndicNLP Marathi News Dataset](https://github.com/ai4bharat/indicnlp_corpus#indicnlp-news-article-classification-dataset)\n\n"
+ "[IndicNLP Marathi News Dataset](https://github.com/ai4bharat/indicnlp_corpus#indicnlp-news-article-classification-dataset)\
+\
+"
  "> `IndicNLP` model predicts one of these 3 classes - `['lifestyle', 'entertainment', 'sports']`"
- "\n\n"
+ "\
+\
+"
  "- [iNLTK Marathi News Classifier](https://huggingface.co/flax-community/mr-inltk-classifier) fine-tuned on "
- "[Marathi News Dataset](https://www.kaggle.com/disisbig/marathi-news-dataset)\n\n"
+ "[Marathi News Dataset](https://www.kaggle.com/disisbig/marathi-news-dataset)\
+\
+"
  "> `iNLTK` model predicts one of these 3 classes - `['state', 'entertainment', 'sports']`"
  )
 
- st.markdown(
- "❓ Can't figure out where to get a sample text other than the predefined ones? ❓\n\n We have provided "
- "Marathi newspaper links (section wise) below. Head over to any section of your choice, "
- "copy any headline and paste below to see if the model is predicting the respective class correctly or not?\n"
- "- [entertainment](https://maharashtratimes.com/entertainment/articlelist/19359255.cms)\n"
- "- [sports](https://maharashtratimes.com/sports/articlelist/2429056.cms)\n"
- "- [lifestyle](https://maharashtratimes.com/lifestyle-news/articlelist/2429025.cms)\n"
- "- [state](https://maharashtratimes.com/maharashtra/articlelist/2429066.cms)\n\n"
- "> 📒 NOTE: Both models are not trained on above headlines! Feel free to use any headline from any newspaper"
- )
-
  classifier = st.sidebar.selectbox("Select a Model", index=0, options=["IndicNLP", "iNLTK"])
 
  st.sidebar.markdown(
- "**IndicNLP Classes**\n"
- "- lifestyle\n"
- "- entertainment\n"
- "- sports\n"
- "\n"
- "**iNLTK Classes**\n"
- "- state\n"
- "- entertainment\n"
+ "**IndicNLP Classes**\
+"
+ "- lifestyle\
+"
+ "- entertainment\
+"
+ "- sports\
+"
+ "\
+"
+ "**iNLTK Classes**\
+"
+ "- state\
+"
+ "- entertainment\
+"
  "- sports"
  )
 
@@ -76,3 +80,22 @@ def app():
 
  st.markdown("## Predicted Label: `{}`".format(result[0]["label"]))
  st.markdown("## Confidence: `{}`%".format(round(result[0]["score"], 3)*100))
+ 
+ st.markdown(
+ "❓ Can't figure out where to get a sample text other than the predefined ones? ❓\
+\
+ We have provided "
+ "Marathi newspaper links (section wise) below. Head over to any section of your choice, "
+ "copy any headline and paste below to see if the model is predicting the respective class correctly or not?\
+"
+ "- [entertainment](https://maharashtratimes.com/entertainment/articlelist/19359255.cms)\
+"
+ "- [sports](https://maharashtratimes.com/sports/articlelist/2429056.cms)\
+"
+ "- [lifestyle](https://maharashtratimes.com/lifestyle-news/articlelist/2429025.cms)\
+"
+ "- [state](https://maharashtratimes.com/maharashtra/articlelist/2429066.cms)\
+\
+"
+ "> 📒 NOTE: Both models are not trained on above headlines! Feel free to use any headline from any newspaper"
+ )