Update app.py

app.py

@@ -25,7 +25,7 @@ with gr.Blocks() as demo:
             <h1 style="text-align: center;font-size: 17pt;">Babel Machine Demo</h1>
             <p style="font-size: 14pt;">This is a demo for text classification using language models finetuned on data labeled by <a href="https://www.comparativeagendas.net/">CAP</a>, <a href="https://manifesto-project.wzb.eu/">Manifesto Project</a>, sentiment, emotion coding and Named Entity Recognition systems.
             For the coding of complete datasets, please visit the official <a href="https://babel.poltextlab.com/">Babel Machine</a> site.<br>
-            Please note that the sentiment (3) and emotions (6) models have been trained using parliamentary speech data, so the results for generic sentences may not be reliable. Additionally, be aware that named entity inputs are case sensitive.<br>
+            Please note that the sentiment (3) and emotions (6) models have been trained using parliamentary speech data, so the results for generic sentences may not be reliable. The emotions (9) models have been trained using <a href="https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/C9SAIX">this dataset</a>. It contains labeled parliamentary speeches and social media data. Under-represented categories were enriched with synthetic data.<br>
             <br>
             The models listed for Manifesto, Sentiment (3) and Emotions (6) tasks are a beta version and thus not publicly available, 
             the Hugging Face link will not work for them for the time being. We expect a public version after tests and improvements in the Fall.