Use h2 class

apps/classifier.py

@@ -74,5 +74,5 @@ def app():
  with st.spinner("Generating prediction..."):
  result = load_model(text_to_classify, model_name_or_path)
 
- st.markdown("**Predicted label:** " + result[0]["label"])
- st.markdown("**Score:** " + str(round(result[0]["score"], 2)))
+ st.markdown("## Predicted Label:** " + result[0]["label"])
+ st.markdown("## Score:** " + str(round(result[0]["score"], 2)))

apps/mlm.py

@@ -28,7 +28,7 @@ def app():
 
  st.markdown(
  "❓Can't figure out where to get a sample text other than the predefined ones?❓\n\n"
- "Use any custom sentence with masked word or copy any headline from [link](https://maharashtratimes.com/entertainment/articlelist/19359255.cms), and mask a word.\n"
+ "Use any custom sentence with masked word or copy any headline from this [link](https://maharashtratimes.com/entertainment/articlelist/19359255.cms), and mask a word.\n"
  "> 📒 NOTE: Supports only single `<mask>` word"
  )