Update app.py

app.py

@@ -5,6 +5,8 @@ import torch.nn.functional as F
 placeholder = 'TTCATCTCGTCCGACGCTTCAACCCGCACCGATCCTGCGCCACCCCTTCGCCGGCGGCTTCTCCCCTCCTCTTCCTCCGCCGCTGCATCGCCGTCCCAGGAACTTGGACACGTCGCCTCTCGCCGGCGACCATGTACCGCGCCCTCCGCTCTCTCAAGGTTTCCCCGTCTGCACCCCCCCAACCTTCTACGACGTGTGGCGTTGCGTGTCTCGATCCATTTGGGATGAATGCGCTGGAGTGTTAGA'
 model_names = ['plant-dnabert', 'plant-dnagpt', 'plant-nucleotide-transformer', 'plant-dnagemma',
                'dnabert2', 'nucleotide-transformer-v2-100m', 'agront-1b']
+tokenizer_type = "BPE"
+model_names = [x + '-' + tokenizer_type if x.startswith("plant") else x for x in model_names]
 task_map = {
             "promoter": ["Not promoter", "Core promoter"],
             "conservation": ["Not conserved", "Conserved"],