diff --git a/audio.py b/audio.py
index 1c5c083..32b20c4 100644
--- a/audio.py
+++ b/audio.py
@@ -1,7 +1,7 @@
 import librosa
 import librosa.filters
 import numpy as np
-import tensorflow as tf
+# import tensorflow as tf
 from scipy import signal
 from scipy.io import wavfile
 from hparams import hparams as hp
diff --git a/hparams.py b/hparams.py
index cc2a0d3..1c01904 100644
--- a/hparams.py
+++ b/hparams.py
@@ -1,4 +1,3 @@
-from tensorflow.contrib.training import HParams
 from glob import glob
 import os
 
@@ -13,6 +12,22 @@ def get_image_list(data_root, split):
 
 	return filelist
 
+class HParams:
+	def __init__(self, **kwargs):
+		self.data = {}
+
+		for key, value in kwargs.items():
+			self.data[key] = value
+
+	def __getattr__(self, key):
+		if key not in self.data:
+			raise AttributeError("'HParams' object has no attribute %s" % key)
+		return self.data[key]
+
+	def set_hparam(self, key, value):
+		self.data[key] = value
+
+
 # Default hyperparameters
 hparams = HParams(
 	num_mels=80,  # Number of mel-spectrogram channels and local conditioning dimensionality