how to synthesize from a custom text

[fatihkiralioglu]

Hi,
Firstly, thank you for this great work.
I'm running a training on arctic database and after a couple days of training I would like to get some synthesis sample.
I tried to run generate.py but could not get any synthesis records. I got the following console output:

parallel-wavenet-vocoder-master$ python generate.py
...utils.py:165: RuntimeWarning: Couldn't find ffmpeg or avconv - defaulting to ffmpeg, but may not work
warn("Couldn't find ffmpeg or avconv - defaulting to ffmpeg, but may not work", RuntimeWarning)
dataset size is 114
WARNING:tensorflow:From parallel-wavenet-vocoder-master/models.py:32: init (from tensorflow.contrib.distributions.python.ops.logistic) is deprecated and will be removed after 2018-10-01.
Instructions for updating:
The TensorFlow Distributions library has moved to TensorFlow Probability (https://github.com/tensorflow/probability). You should update all references to use tfp.distributions instead of tf.contrib.distributions.
2019-01-24 13:39:12.324703: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2019-01-24 13:39:12.668828: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1432] Found device 0 with properties:
name: Tesla P100-PCIE-16GB major: 6 minor: 0 memoryClockRate(GHz): 1.3285
pciBusID: 0000:87:00.0
totalMemory: 15.90GiB freeMemory: 15.61GiB
2019-01-24 13:39:12.668918: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0
2019-01-24 13:39:13.133942: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix:
2019-01-24 13:39:13.134166: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0
2019-01-24 13:39:13.134271: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N
2019-01-24 13:39:13.134819: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 15129 MB memory) -> physical GPU (device: 0, name: Tesla P100-PCIE-16GB, pci bus id: 0000:87:00.0, compute capability: 6.0)
Successfully loaded checkpoint parallel-wavenet-vocoder-master/logdir/default/model-83800
Done.

I wonder if the generate.py script is the correct way for synthesizing or there is some other tool for test synthesis from custom text?
Best Regards.