After installing all requirements (python-midi and requirements.txt) I get this error message when executing generate.py:

Using TensorFlow backend.
Traceback (most recent call last):
  File "generate.py", line 153, in <module>
    main()
  File "generate.py", line 142, in main
    models = build_or_load()
  File "/Users/frederikriedel/Developer/DeepJ/util.py", line 15, in build_or_load
    models = build_models()
  File "/Users/frederikriedel/Developer/DeepJ/model.py", line 149, in build_models
    notes_out = naxis(time_out, chosen, style)
  File "/Users/frederikriedel/Developer/DeepJ/model.py", line 111, in f
    dense_layer_cache[l] = Dense(int(x.get_shape()[3]))
TypeError: __int__ returned non-int (type NoneType)

Do you maybe know what I'm missing here?

Writing file out/samples/output_0.mid
Traceback (most recent call last):
  File "generate.py", line 153, in <module>
    main()
  File "generate.py", line 150, in main
    write_file('output', generate(models, args.bars, styles))
  File "generate.py", line 134, in write_file
    midi.write_midifile(fpath, mf)
  File "/usr/local/python3/lib/python3.5/site-packages/midi/fileio.py", line 169, in write_midifile
    return write_midifile(out,pattern)
  File "/usr/local/python3/lib/python3.5/site-packages/midi/fileio.py", line 171, in write_midifile
    return writer.write(pattern)
  File "/usr/local/python3/lib/python3.5/site-packages/midi/fileio.py", line 105, in write
    self.write_track(track)
  File "/usr/local/python3/lib/python3.5/site-packages/midi/fileio.py", line 122, in write_track
    buf.extend(self.encode_midi_event(event))
  File "/usr/local/python3/lib/python3.5/site-packages/midi/fileio.py", line 161, in encode_midi_event
    ret.extend(event.data)
ValueError: byte must be in range(0, 256)

Epoch 60/1000
10954/10954 [==============================] - 659s - loss: 0.0475
Epoch 61/1000
10954/10954 [==============================] - 658s - loss: 0.0474
Epoch 62/1000
10954/10954 [==============================] - 658s - loss: 0.0473
Epoch 63/1000
10954/10954 [==============================] - 659s - loss: 0.0471
Epoch 64/1000
10954/10954 [==============================] - 658s - loss: 0.0472
Epoch 65/1000
10954/10954 [==============================] - 658s - loss: 0.0612
Epoch 66/1000
10954/10954 [==============================] - 659s - loss: 0.0958
Epoch 67/1000
10954/10954 [==============================] - 657s - loss: 0.0877

you can see around epoch 66 the loss had increased a lot, does it mean hours of training wasted? sry I am a beginner of this... :(

the genres and stylesc I set are like this:

genre = [ 'jazz', 'classical', 'hip_hop' ]

styles = [ [ 'data/jazz/CharlieParker', 'data/jazz/DavidLiebman', 'data/jazz/JJJohnson' ], [ 'data/classical/beethoven', 'data/classical/holst', 'data/classical/stravinsky' 'data/classical/sullivan' ], [ 'data/hip_hop/50_cent', 'data/hip_hop/ja_rule', 'data/hip_hop/pitbull', 'data/hip_hop/will_smith', ] ]

How to write the command line to generate music of different styles.

I use " python generate.py -h" to get the optional arguments,it says: --styles STYLES [STYLES ...] Styles to mix together

but i can't figure out the specific usage of the style control:

i have tried " python generate.py --styles classical"and " python generate.py --styles classical[beethoven holst], both showing "error: argument --styles: invalid int value: 'beethoven'"

the folder data/ only contains midi? I encountered error when i train model with data folder only contains midi. So i wonder if there is some misunderstanding about the train data I built. I'd appreciated if U can help me with the problem.（ฅ´ω`ฅ）

Hello,

I've tried running this model with TF 1.6 /1.4 /1.2 (with and without GPU) and Keras 2.0 and am getting the stack trace below [ubuntu 16.04, python3.6, data folder with examples] when i execute the train.py script

Unable to load model from file. Loading data Training Traceback (most recent call last): File "train.py", line 32, in main() File "train.py", line 16, in main train(models) File "train.py", line 29, in train models[0].fit(train_data, train_labels, epochs=1000, callbacks=cbs, batch_size=BATCH_SIZE) File "/usr/local/lib/python3.6/dist-packages/keras/engine/training.py", line 1405, in fit batch_size=batch_size) File "/usr/local/lib/python3.6/dist-packages/keras/engine/training.py", line 1295, in _standardize_user_data exception_prefix='model input') File "/usr/local/lib/python3.6/dist-packages/keras/engine/training.py", line 121, in _standardize_input_data str(array.shape)) ValueError: Error when checking model input: expected input_1 to have 4 dimensions, but got array with shape (0, 1)

I tried downgrading Keras to 1.xx but the code uses Keras 2.0 syntax. can you please look into it?

build_or_load()

Traceback (most recent call last): File "util.py", line 36, in build_or_load() File "util.py", line 15, in build_or_load models = build_models() File "/Users/chenqi/workspace/DeepJ/model.py", line 148, in build_models notes_out = naxis(time_out, chosen, style) File "/Users/chenqi/workspace/DeepJ/model.py", line 110, in f dense_layer_cache[l] = Dense(int(x.get_shape()[3])) TypeError: int returned non-int (type NoneType)

shift_chosen = Lambda(lambda x: tf.pad(x[:, :, :-1, :], [[0, 0], [0, 0], [1, 0], [0, 0]]))(chosen)
# shift_chosen: shape=(?, 128, 48, 3) 
shift_chosen = Reshape((time_steps, NUM_NOTES, -1))(shift_chosen)
# shift_chosen: shape=(?, 128, 48, ?)
x = Concatenate(axis=3)([x, shift_chosen])
# x: shape=(?, 128, 48, ?)

then int(x.get_shape()[3]) throw TypeError: int returned non-int (type NoneType)

In Ubuntu 16.04 64 with NV tesla P4 box， I can install & run python-midi 0.2.3 in python2,but can not do the same with python3, because " No module named container".

Website https://deepj.ai/ shows loading sign way too long.

Console shows errors:

Failed to load resource: the server responded with a status of 522 ()
https://server.deepj.ai/stream.mp3?length=1000&seed=0&Baroque=0.021820007785793072&Classical=0.8729091205455646&Romantic=0.5977987382883878&Modern=0.49897429867853504

Failed to load https://server.deepj.ai/stream.mp3?length=1000&seed=0&Baroque=0.021820007785793072&Classical=0.8729091205455646&Romantic=0.5977987382883878&Modern=0.49897429867853504: No 'Access-Control-Allow-Origin' header is present on the requested resource. Origin 'https://deepj.ai' is therefore not allowed access. The response had HTTP status code 522.

on the console: GET http://18.222.90.74/stream.mp3?length=1000&seed=0&Baroque=0.0982352937586819&Classical=0.7525334207246455&Romantic=0.8340969462751091&Modern=0.8574476342870909 net::ERR_CONNECTION_REFUSED

I am on MAC OS X 10.3.1 Using TensorFlow backend. Traceback (most recent call last): File "train.py", line 32, in main() File "train.py", line 15, in main models = build_or_load() File "/Users/swarnaananthan/storycircles/ai_music/DeepJ/util.py", line 15, in build_or_load models = build_models() File "/Users/swarnaananthan/storycircles/ai_music/DeepJ/model.py", line 149, in build_models notes_out = naxis(time_out, chosen, style) File "/Users/swarnaananthan/storycircles/ai_music/DeepJ/model.py", line 111, in f dense_layer_cache[l] = Dense(int(x.get_shape()[3])) TypeError: int returned non-int (type NoneType)

Please help me in fixing the issue.

Hi, when i use the python generate.py command, it always said 'Unable to load model from file.', but the provided model is there and the file path is right, so why it can't load? Also, although it can't load model, but it can generate one or two midi file and then begins to throw error. The error message is like this:

Writing file out\samples\output_0.mid Traceback (most recent call last): File "generate.py", line 153, in main() File "generate.py", line 150, in main write_file('output', generate(models, args.bars, styles)) File "generate.py", line 134, in write_file midi.write_midifile(fpath, mf) File "D:\anaconda\anaconda\lib\site-packages\midi-0.2.3-py3.7.egg\midi\fileio.py", line 162, in write_midifile File "D:\anaconda\anaconda\lib\site-packages\midi-0.2. write_file('output', generate(models, args.bars, sty les)) File "generate.py", line 134, in write_file midi.write_midifile(fpath, mf) File "D:\anaconda\anaconda\lib\site-packages\midi-0.2. 3-py3.7.egg\midi\fileio.py", line 162, in write_midifile File "D:\anaconda\anaconda\lib\site-packages\midi-0.2. 3-py3.7.egg\midi\fileio.py", line 110, in write File "D:\anaconda\anaconda\lib\site-packages\midi-0.2. 3-py3.7.egg\midi\fileio.py", line 124, in write_track File "D:\anaconda\anaconda\lib\site-packages\midi-0.2. 3-py3.7.egg\midi\fileio.py", line 152, in encode_midi_ev ent ValueError: byte must be in range(0, 256)

Other people have the same error, but seems no one knows how to solves this. so my question is: 1.how can i load model correctly? 2.if i haven't load the model, then why it can generate some midi results?How does it being generated? 3.how can i fix this ValueError? Thank you!

Can anybody please summarize the versions of all the different libraries that we have to use in this. I have been for the past few hours trying to run this, but always an error comes up. Currently, am stuck at "Failed to load the native TensorFlow runtime".

after installing requirements, I encountered this error(image below) while running generator.py

TensorFlow == 1.15.0

TensorFlow-gpu == 1.13.1

Keras == 2.0.0

ubuntu = 18.04

NVIDIA-SMI 410.48

Hi, i'm try to use midi_util.py to extract play, replay, volume matrix from piano-midi.de datasets, but i find that the replay matrix is always the all zeros array. How can I deal with this?

Hi i was trying to install the music package using conda but couldn't find it. Is the music file written by you or its a inbuilt python program? I am using the tensorflow version of deepj