Update app.py

app.py

@@ -9,7 +9,7 @@ from rxlm.training.tokenizer import load_tokenizer_from_hf_hub
 HF_TOKEN = os.environ.get("HF_TOKEN")
 
 tokenizer = load_tokenizer_from_hf_hub('ReactiveAI/RxT-Beta-Micro-Supervised-AI', token=HF_TOKEN)
-model = RxTBeta.from_pretrained('RxT-Beta-Micro-Supervised-AI', token=HF_TOKEN, tokenizer=tokenizer)
+model = RxTBeta.from_pretrained('ReactiveAI/RxT-Beta-Micro-Supervised-AI', token=HF_TOKEN, tokenizer=tokenizer)
 model.share_components()
 
 device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')