diff --git a/speech_data.py b/speech_data.py
index 8b3cd84..e41cb88 100644
--- a/speech_data.py
+++ b/speech_data.py
@@ -8,7 +8,7 @@ import numpy as np
 from speech_spectrum import generate_aiff_spectrogram
 from sklearn.model_selection import train_test_split
 import itertools
-import os
+import os,shutil
 import random
 import csv
 import gc
@@ -144,6 +144,9 @@ def read_siamese_tfrecords_generator(audio_group='audio',batch_size=32,test_size
     const_file = os.path.join('./outputs',audio_group+'.constants')
     (n_spec,n_features,n_records) = pickle.load(open(const_file,'rb'))
 
+    def copy_read_consts(dest_dir):
+        shutil.copy2(const_file,dest_dir)
+        return (n_spec,n_features,n_records)
     # @threadsafe_iter
     def record_generator():
         print('reading tfrecords({}-train)...'.format(audio_group))
@@ -195,7 +198,7 @@ def read_siamese_tfrecords_generator(audio_group='audio',batch_size=32,test_size
         output = example.features.feature['output'].int64_list.value
         output_data[i] = np.asarray(output)
 
-    return record_generator,input_data,output_data,n_spec,n_features,n_records
+    return record_generator,input_data,output_data,copy_read_consts
 
 def audio_samples_word_count(audio_group='audio'):
     audio_samples = pd.read_csv( './outputs/' + audio_group + '.csv')
@@ -249,7 +252,7 @@ if __name__ == '__main__':
     # create_spectrogram_tfrecords('story_all',sample_count=25)
     # fix_csv('story_words_test')
     #fix_csv('story_phrases')
-    create_spectrogram_tfrecords('story_phrases',sample_count=0,train_test_ratio=0.1)
+    create_spectrogram_tfrecords('story_phrases',sample_count=100,train_test_ratio=0.1)
     # create_spectrogram_tfrecords('audio',sample_count=50)
     # read_siamese_tfrecords_generator('audio')
     # padd_zeros_siamese_tfrecords('audio')
diff --git a/speech_model.py b/speech_model.py
index 5fe9b70..42a6fb3 100644
--- a/speech_model.py
+++ b/speech_model.py
@@ -74,7 +74,8 @@ def train_siamese(audio_group = 'audio'):
     create_dir(model_dir)
     log_dir = './logs/'+audio_group
     create_dir(log_dir)
-    tr_gen_fn,te_pairs,te_y,n_step,n_features,n_records = read_siamese_tfrecords_generator(audio_group,batch_size=batch_size,test_size=batch_size)
+    tr_gen_fn,te_pairs,te_y,copy_read_consts = read_siamese_tfrecords_generator(audio_group,batch_size=batch_size,test_size=batch_size)
+    n_step,n_features,n_records = copy_read_consts()
     tr_gen = tr_gen_fn()
     input_dim = (n_step, n_features)