diff --git a/grade_school_math/sample.py b/grade_school_math/sample.py
index 1c3f14d..2350b2c 100644
--- a/grade_school_math/sample.py
+++ b/grade_school_math/sample.py
@@ -2,21 +2,28 @@
 from dataset import get_examples, GSMDataset
 from calculator import sample
 from transformers import GPT2Tokenizer, GPT2LMHeadModel
-
+import logging
 
 def main():
-    device = th.device("cuda")
-    tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
-    model = GPT2LMHeadModel.from_pretrained("model_ckpts")
-    model.to(device)
-    print("Model Loaded")
+    try:
+        # Set up logging
+        logging.basicConfig(level=logging.INFO)
+        logger = logging.getLogger(__name__)
+
+        device = th.device("cuda")
+        tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
+        model = GPT2LMHeadModel.from_pretrained("model_ckpts")
+        model.to(device)
+        logger.info("Model Loaded")
 
-    test_examples = get_examples("test")
-    qn = test_examples[1]["question"]
-    sample_len = 100
-    print(qn.strip())
-    print(sample(model, qn, tokenizer, device, sample_len))
+        test_examples = get_examples("test")
+        qn = test_examples[1]["question"]
+        sample_len = 100
+        logger.info(qn.strip())
+        logger.info(sample(model, qn, tokenizer, device, sample_len))
 
+    except Exception as e:
+        logging.exception("An error occurred: %s", str(e))
 
 if __name__ == "__main__":
     main()