Update app.py

app.py

@@ -33,7 +33,7 @@ nltk.download('punkt_tab', quiet=True)
 nltk.download('stopwords', quiet=True)
 nltk.download('vader_lexicon', quiet=True)
 tokenizer_tpb = AutoTokenizer.from_pretrained('mesolitica/malaysian-mistral-191M-MLM-512')
-model_tpb = MistralForSequenceClassification.from_pretrained('HalalFoodNLP/tpb-model-halal', torch_dtype=torch.bfloat16)
+model_tpb = MistralForSequenceClassification.from_pretrained('HalalFoodNLP/tpb-model-halal', torch_dtype=torch.bfloat16, token = HF_TOKEN)
 model_sentiment = MistralForSequenceClassification.from_pretrained('malaysia-ai/sentiment-mistral-191M-MLM', torch_dtype=torch.bfloat16)
 pipeline_tpb = pipeline(task="text-classification", model=model_tpb, tokenizer=tokenizer_tpb)
 sentiment_pipeline = pipeline("sentiment-analysis", model=model_sentiment, tokenizer=tokenizer_tpb)