Updated directions.

app.py

@@ -68,7 +68,7 @@ notes = f'''Notes:
 * The search expands beyond exact matching, so "asia social movements" may return paragraphs on Asian-Americans politics and South Korean labor unions.
 * The first search can take up to 10 seconds as the files load. After that, it's quicker to respond.
 * The most relevant paragraph to your search is returned first, along with up to four other related paragraphs from that article.
-* The most relevant sentence within each paragraph, as determined by math, is bolded.
+* The most relevant sentence within each paragraph, as determined by math, is displayed. Click on it to see the full paragraph.
 * The results are not exhaustive, and seem to drift off even when you suspect there are more relevant articles :man-shrugging:.
 * The dataset currently includes articles published in the last five years in *Mobilization*, *Social Forces*, *Social Problems*, *Sociology of Race and Ethnicity*, *Gender and Society*, *Socius*, *JHSB*, *Annual Review of Sociology*, and the *American Sociological Review*.
 * Behind the scenes, the semantic search uses [text embeddings](https://www.sbert.net) with a [retrieve & re-rank](https://colab.research.google.com/github/UKPLab/sentence-transformers/blob/master/examples/applications/retrieve_rerank/retrieve_rerank_simple_wikipedia.ipynb) process to find the best matches.