Update app.py

app.py

@@ -114,11 +114,11 @@ class AspectSentimentPipeline(Pipeline):
 
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
-aspect_extraction_model = BertForTokenClassification.from_pretrained("thealper2/aspect_extraction_model")
-aspect_extraction_tokenizer = BertTokenizerFast.from_pretrained("thealper2/aspect_extraction_tokenizer")
+aspect_extraction_model = BertForTokenClassification.from_pretrained("thealper2/aspect-extraction-model")
+aspect_extraction_tokenizer = BertTokenizerFast.from_pretrained("thealper2/aspect-extraction-tokenizer")
 
-aspect_sentiment_model = BertForSequenceClassification.from_pretrained("thealper2/aspect_sentiment_model")
-aspect_sentiment_tokenizer = BertTokenizer.from_pretrained("thealper2/aspect_sentiment_tokenizer")
+aspect_sentiment_model = BertForSequenceClassification.from_pretrained("thealper2/aspect-sentiment-model")
+aspect_sentiment_tokenizer = BertTokenizer.from_pretrained("thealper2/aspect-sentiment-tokenizer")
 
 pipeline = AspectSentimentPipeline(
     aspect_extraction_model=aspect_extraction_model,