Update app.py

app.py

@@ -5,7 +5,8 @@ tokenizer = Tokenizer(model=models.WordPiece(unk_token="[UNK]"))
 special_tokens = ["[UNK]", "[PAD]", "[CLS]", "[SEP]", "[MASK]"]
 trainer = trainers.WordPieceTrainer(vocab_size=25000, special_tokens=special_tokens)
 
-tokenizer.train(["wikitext-2.txt"], trainer=trainer)
+tokenizer.train(["curl -X GET \
+     "https://datasets-server.huggingface.co/rows?dataset=wikimedia%2Fwikipedia&config=20231101.en&split=train&offset=0&length=100""], trainer=trainer)
 
 encoding = tokenizer.encode("Let's test this tokenizer...", "on a pair of sentences.")
 print(encoding.ids)