From 734adf4d281a3bbf30c897994774146ebed3281b Mon Sep 17 00:00:00 2001
From: Mikkel Garcia <mikkel@255bits.com>
Date: Tue, 29 Mar 2016 20:32:02 -0600
Subject: [PATCH] [feature] composer - samples from saved DCGAN to create bad
 songs

---
 composer.py | 45 +++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 45 insertions(+)
 create mode 100644 composer.py

diff --git a/composer.py b/composer.py
new file mode 100644
index 000000000..44d072fb3
--- /dev/null
+++ b/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 )
+
+
+