Update app.py

app.py

@@ -27,7 +27,7 @@ pipe_1b = pipeline(model="Finnish-NLP/wav2vec2-xlsr-1b-finnish-lm-v2",chunk_leng
 
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 model_checkpoint = 'Finnish-NLP/t5-small-nl24-casing-punctuation-correction'    
-tokenizer = AutoTokenizer.from_pretrained(model_checkpoint, use_auth_token=os.environ.get('hf_token'))
+tokenizer = AutoTokenizer.from_pretrained(model_checkpoint)#, use_auth_token=os.environ.get('hf_token'))
 model = AutoModelForSeq2SeqLM.from_pretrained(model_checkpoint, from_flax=False, torch_dtype=torch.float32, use_auth_token=os.environ.get('hf_token')).to(device)
 
 # define speech-to-text function