diff --git a/eval.py b/eval.py
index 2f95addd6..941da86be 100755
--- a/eval.py
+++ b/eval.py
@@ -9,29 +9,31 @@
 from text_cnn import TextCNN
 from tensorflow.contrib import learn
 import csv
+import argparse
 
 # Parameters
 # ==================================================
 
-# Data Parameters
-tf.flags.DEFINE_string("positive_data_file", "./data/rt-polaritydata/rt-polarity.pos", "Data source for the positive data.")
-tf.flags.DEFINE_string("negative_data_file", "./data/rt-polaritydata/rt-polarity.neg", "Data source for the negative data.")
+parser = argparse.ArgumentParser()
 
-# Eval Parameters
-tf.flags.DEFINE_integer("batch_size", 64, "Batch Size (default: 64)")
-tf.flags.DEFINE_string("checkpoint_dir", "", "Checkpoint directory from training run")
-tf.flags.DEFINE_boolean("eval_train", False, "Evaluate on all training data")
+#Data Parameters
+parser.add_argument('--positive_data_file', type=str, default='./data/rt-polaritydata/rt-polarity.pos', help='Data source for the positive data.')
+parser.add_argument('--negative_data_file', type=str, default='./data/rt-polaritydata/rt-polarity.neg', help='Data source for the positive data.')
 
-# Misc Parameters
-tf.flags.DEFINE_boolean("allow_soft_placement", True, "Allow device soft device placement")
-tf.flags.DEFINE_boolean("log_device_placement", False, "Log placement of ops on devices")
+#Eval Parameters
+parser.add_argument('--batch_size', type=int, default=64, help='Batch Size (default: 64).')
+parser.add_argument('--checkpoint_dir', type=str, default=None, help='Checkpoint directory from training run.')
+parser.add_argument('--eval_train', type=bool, default=False, help='Evaluate on all training data.')
 
+#Misc Parameters
+parser.add_argument('--allow_soft_placement', type=bool, default=True, help='Allow device soft device placement.')
+parser.add_argument('--log_device_placement', type=bool, default=False, help='Log placement of ops on devices.')
+
+FLAGS = parser.parse_args()
 
-FLAGS = tf.flags.FLAGS
-FLAGS._parse_flags()
 print("\nParameters:")
-for attr, value in sorted(FLAGS.__flags.items()):
-    print("{}={}".format(attr.upper(), value))
+for attr in vars(FLAGS):
+    print("{}={}".format(attr.upper(), getattr(FLAGS, attr)))
 print("")
 
 # CHANGE THIS: Load data. Load your own data here