Reconfigure the examples

app.py

@@ -25,6 +25,14 @@ model_mapping = {
     ("roberta-base", "dmitva/human_ai_generated_text - Both AI and Human Data"): "SkwarczynskiP/roberta-base-finetuned-dmitva-AI-and-human-generated"
 }
 
+# Examples included within the interface
+examples = [
+    ["ex1"],
+    ["ex2"],
+    ["ex3"],
+    ["ex4"]
+]
+
 
 def detect_ai_generated_text(model: str, dataset: str, text: str) -> str:
     # Get the fine-tuned model using mapping
@@ -45,14 +53,6 @@ def detect_ai_generated_text(model: str, dataset: str, text: str) -> str:
     return f"{label} with confidence {score * 100:.2f}%"
 
 
-# Examples included within the interface
-examples = [
-    ["AI Generated", "ex1"],
-    ["Human Written", "ex2"],
-    ["AI Generated", "ex3"],
-    ["Human Written", "ex4"]
-]
-
 interface = gr.Interface(
     fn=detect_ai_generated_text,
     inputs=[