Added necessary links for demo

apps/classifier.py

@@ -26,13 +26,24 @@ def app():
  )
 
  st.markdown(
- "Can't figure out where to get a sample text? Visit this "
- "[link](https://maharashtratimes.com/entertainment/articlelist/19359255.cms), copy any headline and see if "
- "the model is predicting it as `entertainment` or not."
+ "Can't figure out where to get a sample text? Visit any of the following links, copy any headline and see if "
+ "the model is predicting the respective class 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)"
+ 
  )
 
  classifier = st.sidebar.selectbox("Select a Model", index=0, options=["Indic NLP", "iNLTK"])
 
+ st.sidebar.markdown(
+ "- [Indic NLP](https://huggingface.co/flax-community/mr-indicnlp-classifier) fine-tuned on "
+ "[Indic NLP Corpus for Marathi](https://github.com/ai4bharat/indicnlp_corpus#indicnlp-news-article-classification-dataset)"
+ "\n"
+ "- [iNLTK](https://huggingface.co/flax-community/mr-inltk-classifier) fine-tuned on "
+ "[Marathi News Dataset](https://www.kaggle.com/disisbig/marathi-news-dataset)"
+ )
+
  sample_texts = [
  "अध्यक्ष शरद पवार आणि उपमुख्यमंत्री अजित पवार यांची भेट घेतली.",
  "मोठी बातमी! उद्या दुपारी १ वाजता जाहीर होणार दहावीचा निकाल",