Updated markdowns to add descriptions.

app.py

@@ -57,8 +57,9 @@ def sentiment_analysis(model, tokenizer):
     else: return pipeline('text-classification')
 
 # Title the Streamlit app 'Finetuned Harvard USPTO Patent Dataset (using DistilBert-Base-Uncased)'
-st.title('Finetuned Harvard USPTO Patent Dataset (using DistilBert-Base-Uncased)')
+st.title('Finetuned Sentiment Analysis for US Patents')
 st.markdown('Link to the app - [sentiment-analysis-app](https://huggingface.co/spaces/saccharinedreams/sentiment-analysis-app)')
+st.markdown('This model was finetuned on the Harvard USPTO Patent Dataset and uses Distilbert-Base-Uncased.')
 
 abstracts = load_abstracts()
 print(len(abstracts))