Create app.py

app.py

@@ -0,0 +1,15 @@
+from datasets import load_dataset
+from evaluate import evaluator
+from transformers import AutoModelForSequenceClassification, pipeline
+
+data = load_dataset("huolongguo10/insecure").shuffle(seed=42).select(range(1000))
+task_evaluator = evaluator("text-classification")
+
+# 1. Pass a model name or path
+eval_results = task_evaluator.compute(
+    model_or_pipeline="huolongguo10/check_sec",
+    data=data,
+)
+
+
+print(eval_results)