Create app.py

app.py

@@ -0,0 +1,31 @@
+#ref: https://huggingface.co/blog/AmelieSchreiber/esmbind
+
+import os
+# os.environ["CUDA_VISIBLE_DEVICES"] = "0"
+import wandb
+import numpy as np
+import torch
+import torch.nn as nn
+import pickle
+import xml.etree.ElementTree as ET
+from datetime import datetime
+from sklearn.model_selection import train_test_split
+from sklearn.utils.class_weight import compute_class_weight
+from sklearn.metrics import (
+    accuracy_score, 
+    precision_recall_fscore_support, 
+    roc_auc_score, 
+    matthews_corrcoef
+)
+from transformers import (
+    AutoModelForTokenClassification,
+    AutoTokenizer,
+    DataCollatorForTokenClassification,
+    TrainingArguments,
+    Trainer
+)
+
+from datasets import Dataset
+from accelerate import Accelerator
+# Imports specific to the custom peft lora model
+from peft import get_peft_config, PeftModel, PeftConfig, get_peft_model, LoraConfig, TaskType