Update app.py

app.py

@@ -17,11 +17,15 @@ label_map = {
     "LABEL_1": "LLM (1)",
     "1": "LLM (1)"
 }
-
+large_v3 = classifier = pipeline("text-classification", model="underscore2/modernbert_large_slop_classifier_v3", top_k=None)
+       
 # Function to load the selected model and classify text
 def classify_text(model_name, text):
     try:
-        classifier = pipeline("text-classification", model=models[model_name], top_k=None)
+        if models[model_name] != "underscore2/modernbert_large_slop_classifier_v3":
+            classifier = pipeline("text-classification", model=models[model_name], top_k=None)
+        else:
+            classifier = large_v3
         predictions = classifier(text)
 
         # Process predictions to use friendly labels