Update app.py

app.py

@@ -6,10 +6,14 @@ from tokenizers import normalizers
 from tokenizers.normalizers import Sequence, Replace, Strip
 from tokenizers import Regex
 
-device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
+from transformers import DebertaTokenizerFast   
 
-tokenizer = DebertaTokenizer.from_pretrained('microsoft/deberta-base')
+device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
 
+tokenizer = DebertaTokenizerFast.from_pretrained(
+    "microsoft/deberta-base",
+    add_prefix_space=True        
+)
 
 model_2 = DebertaForSequenceClassification.from_pretrained("mihalykiss/best_merged_41_2", num_labels=41)
 model_2.to(device).eval()
@@ -92,7 +96,7 @@ title = "AI Text Detector"
 description = """
 
 
-This tool uses the <b>ModernBERT</b> model to identify whether a given text was written by a human or generated by artificial intelligence (AI). It works with a soft voting ensemble using <b>three</b> models, combining their outputs to improve the accuracy.
+This tool uses a merged <b>DeBERTa</b> model to identify whether a given text was written by a human or generated by artificial intelligence (AI).
 <br>
 
 <div style="line-height: 1.8;">