Setup Gradio space

app.py

@@ -1,13 +1,13 @@
 import gradio as gr
 import torch
-from transformers import AutoModelForSequenceClassification, AutoTokenizer
+from transformers import AutoModelForSequenceClassification, DebertaV2Tokenizer
 
 CLASSES = {
     'yes': 0,
     'irrelevant': 1,
     'no': 2,
 }
-tokenizer = AutoTokenizer.from_pretrained('cross-encoder/nli-deberta-v3-base',do_lower_case=True)
+tokenizer = DebertaV2Tokenizer.from_pretrained('cross-encoder/nli-deberta-v3-base',do_lower_case=True)
 model = AutoModelForSequenceClassification.from_pretrained('MrPio/TheSeagullStory-nli-deberta-v3-base')
 model.eval()
 story = open('story.txt').read().replace("\n\n", "\n").replace("\n", " ").strip()