Update app.py

app.py

@@ -752,15 +752,16 @@ def create_interface():
         gr.Markdown("""
         # Named Entity Recognition (NER) Explorer Tool
         
-        Combine common NER categories with your own custom entity types! This tool uses both traditional NER models and GLiNER for comprehensive entity extraction.
+        Combine common Named Entity Recognition (NER) categories with your own custom entity types! 
+        This tool uses both traditional NER models and GLiNER for comprehensive entity extraction, allowing you to explore what NER looks like in practice.
           
-        ### How to use:
+        ### How to use this tool:
         1. **📝 Enter your text** in the text area below
-        2. **🎯 Select a model** from the dropdown for common entities
-        3. **☑️ Select common entities** you want to find (PER, ORG, LOC, etc.)
-        4. **✨ Add custom entities** (comma-separated) like "relationships, occupations, skills" - powered by GLiNER
+        2. **🎯 Select a model** from the dropdown menu
+        3. **☑️ Select common entity types** you want to identify (PER, ORG, LOC, etc.)
+        4. **✨ Add custom entities** (comma-separated) like "relationships, occupations, skills"
         5. **⚙️ Adjust confidence threshold** 
-        6. **🔍 Click "Analyse Text"** to see results with organized output 
+        6. **🔍 Click "Analyse Text"** to see results
                 (NB: common/custom entities which overlap are shown with split-colour highlighting)
         """)
         # Add tip box
@@ -1003,7 +1004,7 @@ def create_interface():
         <a href="https://digitalscholarship.web.ox.ac.uk/" target="_blank" style="color: #1976d2;">
             Digital Scholarship at Oxford (DiSc)
         </a>
-        funded research project:
+        funded research project:<br>
         <em>Extracting Keywords from Crowdsourced Collections</em>.
     </p>
     <p style="font-size: 14px; line-height: 1.8; margin: 0;">