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app.py

@@ -23,7 +23,7 @@ with gr.Blocks() as demo:
         </style>
         <div style="display: block; text-align: left; padding:0; margin:0;font-family: "Source Sans Pro", Helvetica, sans-serif;">
             <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.<br>
+            <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 (8) 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>
             </p>