Update pages/Workflow & Model Overview.py

pages/Workflow & Model Overview.py

@@ -176,7 +176,7 @@ st.text("""
 st.markdown('<div class="sub-title">Benchmark</div>', unsafe_allow_html=True)
 st.markdown("""
 <div class="section">
-    <p>Evaluating the performance of NER models is crucial to understanding their effectiveness in real-world applications. Below are the benchmark results for the "ner_wikiner_glove_840B_300" model on Italian text, focusing on various named entity categories. The metrics used include precision, recall, and F1-score, which are standard for evaluating classification models.</p>
+    <p>Evaluating the performance of NER models is crucial to understanding their effectiveness in real-world applications. Below are the benchmark results for the "ner_wikiner_glove_840B_300" model on <strong>German</strong> text, focusing on various named entity categories. The metrics used include precision, recall, and F1-score, which are standard for evaluating classification models.</p>
 </div>
 """, unsafe_allow_html=True)
 st.markdown("""