Update app.py

app.py

@@ -38,13 +38,13 @@ with gr.Blocks(title="General NER with Color-Coded Output") as demo:
     gr.Markdown(
         """
         # General Entity Recognition Demo
-        This demo selects a random text snippet from a subset of the British Library's books dataset and identifies entities using a fine-tuned GLiNER model. You can specify the entities you want to find, and results will be displayed in a color-coded format.
+        This demo selects a random text snippet from the British Library's books dataset and identifies entities using GLiNER (urchade/gliner_multi-v2.1). 
         """
     )
     
     # Display a random example
     input_text = gr.Textbox(
-        value="The machine is fed by means of an endless apron, the wool entering at the smaller end...",
+        value="Click on 'Get New Snippet' to load a piece of text from the British Library dataset",
         label="Text input",
         placeholder="Enter your text here",
         lines=5
@@ -52,7 +52,7 @@ with gr.Blocks(title="General NER with Color-Coded Output") as demo:
 
     with gr.Row() as row:
         labels = gr.Textbox(
-            value="Machine, Wool",  # Default example labels
+            value="Person, Location",  # Default example labels
             label="Labels",
             placeholder="Enter your labels here (comma separated)",
             scale=2,