[feature] composer - samples from saved DCGAN to create bad songs

composer.py

@@ -0,0 +1,45 @@
+import os
+import numpy as np
+import tensorflow as tf
+
+from glob import glob
+from model import DCGAN
+from utils import pp, visualize, to_json
+import tensorflow_wav
+
+
+dataset="audio"
+wav_size=64
+is_crop=False
+batch_size=16
+checkpoint_dir="checkpoint"
+bitrate=4096
+
+with tf.Session() as sess:
+    dcgan = DCGAN(sess, wav_size=wav_size, batch_size=batch_size,
+            dataset_name=dataset, is_crop=is_crop, checkpoint_dir=checkpoint_dir)
+    dcgan.load(checkpoint_dir)
+
+    data = glob(os.path.join("./training", "*.wav"))
+    sample_file = data[0]
+    sample =tensorflow_wav.get_wav(sample_file)
+
+    full_audio = []
+    for i in range(120):
+        audio = dcgan.sample()
+
+        audio = np.reshape(audio,[-1])
+        print("Audio shape", np.shape(audio))
+        full_audio += audio[:bitrate].tolist()
+        print("Full audio shape", np.shape(full_audio))
+
+    samplewav = sample.copy()
+    samplewav
+    samplewav['data']=full_audio
+    print("samplewav shape", np.shape(samplewav['data']))
+
+    filename = "./compositions/song.wav"
+    tensorflow_wav.save_wav(samplewav, filename )
+
+
+