Update app.py

app.py

@@ -9,9 +9,11 @@ import evaluate
 import numpy as np
 import random
 
+tokenizer = None
+
 def preprocess_function(examples):
     return tokenizer(examples["text"], padding="max_length", truncation=True)
-        
+
 def process(model_id, dataset):
     # Step 1: Load dataset
     dataset_imdb = load_dataset(dataset)
@@ -37,7 +39,7 @@ def process(model_id, dataset):
 
     # Step 3: Text tokenization
 
-    tokenizer = AutoTokenizer.from_pretrained("bert-base-cased")
+    global tokenizer = AutoTokenizer.from_pretrained("bert-base-cased")
 
     # Step 4: Apply tokenization to dataset