Update app.py

app.py

@@ -12,7 +12,7 @@ dataset_iter = load_dataset(
 ).shuffle(seed=42)  # Shuffle added
 
 # Load the model
-model = GLiNER.from_pretrained("max-long/textile_machines_3_oct", trust_remote_code=True)
+model = GLiNER.from_pretrained("urchade/gliner_multi-v2.1", trust_remote_code=True)
 
 def ner(text: str, labels: str, threshold: float, nested_ner: bool):
     # Convert user-provided labels (comma-separated string) into a list
@@ -44,7 +44,7 @@ with gr.Blocks(title="General NER with Color-Coded Output") as demo:
     
     # 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 'Get New Snippet' to load a random sample 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="People, Places",  # Default example labels
             label="Labels",
             placeholder="Enter your labels here (comma separated)",
             scale=2,