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ML-supported lo-fi music generator

Home Page: https://lofi.jacobzhang.de?default

License: Apache License 2.0

HTML 3.93% TypeScript 43.78% JavaScript 0.95% SCSS 12.11% Python 39.10% Dockerfile 0.13%
music machine-learning vae tonejs lofi-music pytorch flask typescript lofi

lofi's Introduction

lofi's People

Contributors

elliotwutingfeng avatar jacbz avatar marcelkollovieh avatar pashme avatar raresportan avatar

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lofi's Issues

"Error!"

Since some days, I have an Error when I click on generate, Even when I use your website, Is it still an active project? Thanks :)

start training with per-trained

Hi, can we run the model with a pre-trained model?
or resume training.

pls, can you show me how to use this, I didn't understand exactly, until now I only worked on computer vision, I need to learn about Transformers

Problems with training the model

Hi, I finally got everything ready and it was my first time training a model. However I noticed some problems with lofi2lofi_train.py:

  1. Unable to continue training with pre-trained / previous results
    Everytime I run the script, it trains from epoch 0 and doesn't load any files. How make the script to load previous results and continue training?

  2. High CPU / disk usage
    I notice that the RAM usage is always rising and extreme high. It reached MemoryError at 211 epochs.
    Is there anyway to improve the training script?

I'm not sure when it will start overfitting but for now, I want to have as much epochs as possible.

Really love this project and I want to make it better.

Thank you!

Auto Play

Hello, how do we make it autoplay when the site is opened?

Way to generate more melodies sequences

Thanks for the previous answer. I have tried and it effectively lengthens the duration of the theme, but repeating the same thing over and over again. Is there a way to generate more sequences of different melodies to have a more extensive musical track but not for that reason repetitive?

Continuous Playback

I know this hasn't been updated in a while, but could there be a feature where it reaches the end of the playlist, and generates another song? Continuous playback?

ModuleNotFoundError: No module named 'model'

ModuleNotFoundError: No module named 'model' in docker and running outside of docker cant seem to get it to see the models even when they are in the same directory as the server or manually pointing to the location by changing it in app.py not sure what I am doing wrong. works fine with default settings but I would like to run this locally

Unable to train

Hey There!

I'm running into this error "Can't call numpy() on Tensor that requires grad. Use tensor.detach().numpy() instead." when trying with CPU tensor. Below is the error output I get. I have also tried with CUDA and get other various errors. So I'll stick with CPU for now.

python3.8 lofi2lofi_train.py Using cpu device Starting training: lofi2lofi == Epoch 0 == Scheduled sampling rate: C 0, M 0 Batch 0: Loss 5.507 (C: 2.230 + KL: 0.021 + M: 2.710 + T: 0.059 + K: 0.081 + Mo: 0.193 + V: 0.090 + E: 0.123) Validation Batch 0: Loss 5.470 (C: 2.192 + KL: 0.020 + M: 2.705 + T: 0.059 + K: 0.082 + Mo: 0.188 + V: 0.052 + E: 0.172) Epoch chord loss: 2.230, melody loss: 2.710, KL: 0.021, chord accuracy: 1.765, melody accuracy: 0.624 VALIDATION: epoch chord loss: 2.192, melody loss: 2.705, KL: 0.020, chord accuracy: 14.286, melody accuracy: 0.311 Traceback (most recent call last): File "lofi2lofi_train.py", line 14, in <module> train(dataset, model, "lofi2lofi") File "/mnt/Storage//Lofi/model/model/train.py", line 190, in train axs[0, 0].plot(epochs, train_losses_chords, label='Train', color='royalblue') File "/home/ubuntu/.local/lib/python3.8/site-packages/matplotlib/axes/_axes.py", line 1688, in plot lines = [*self._get_lines(*args, data=data, **kwargs)] File "/home/ubuntu/.local/lib/python3.8/site-packages/matplotlib/axes/_base.py", line 311, in __call__ yield from self._plot_args( File "/home/ubuntu/.local/lib/python3.8/site-packages/matplotlib/axes/_base.py", line 494, in _plot_args y = _check_1d(xy[1]) File "/home/ubuntu/.local/lib/python3.8/site-packages/matplotlib/cbook/__init__.py", line 1348, in _check_1d return np.atleast_1d(x) File "<__array_function__ internals>", line 200, in atleast_1d File "/home/ubuntu/.local/lib/python3.8/site-packages/numpy/core/shape_base.py", line 65, in atleast_1d ary = asanyarray(ary) File "/home/ubuntu/.local/lib/python3.8/site-packages/torch/_tensor.py", line 643, in __array__ return self.numpy() RuntimeError: Can't call numpy() on Tensor that requires grad. Use tensor.detach().numpy() instead.

Command I run is python3.8 lofi2lofi_train.py

Requirements for the model part?

Hello, thanks for creating this project. I was wondering if there's a requirements.txt for the model part? I didn't really see one in the project.

Change average length of song

Impressive project! My congratulations! The generated music is very good. I have a question, is it possible that the average duration is 3 minutes instead of 1:30? I have downloaded the code but I can't figure out where to modify to achieve that. I clarify I do not program in python. Thank you!

Docker fails to start

I'm unsure why I'm getting this error when trying to run the Lofi docker image.

Traceback (most recent call last):
  File "/usr/local/lib/python3.8/runpy.py", line 194, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/usr/local/lib/python3.8/runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "/usr/local/lib/python3.8/site-packages/flask/__main__.py", line 3, in <module>
    main()
  File "/usr/local/lib/python3.8/site-packages/flask/cli.py", line 1050, in main
    cli.main()
  File "/usr/local/lib/python3.8/site-packages/click/core.py", line 1055, in main
    rv = self.invoke(ctx)
  File "/usr/local/lib/python3.8/site-packages/click/core.py", line 1657, in invoke
    return _process_result(sub_ctx.command.invoke(sub_ctx))
  File "/usr/local/lib/python3.8/site-packages/click/core.py", line 1404, in invoke
    return ctx.invoke(self.callback, **ctx.params)
  File "/usr/local/lib/python3.8/site-packages/click/core.py", line 760, in invoke
    return __callback(*args, **kwargs)
  File "/usr/local/lib/python3.8/site-packages/click/decorators.py", line 84, in new_func
    return ctx.invoke(f, obj, *args, **kwargs)
  File "/usr/local/lib/python3.8/site-packages/click/core.py", line 760, in invoke
    return __callback(*args, **kwargs)
  File "/usr/local/lib/python3.8/site-packages/flask/cli.py", line 911, in run_command
    raise e from None
  File "/usr/local/lib/python3.8/site-packages/flask/cli.py", line 897, in run_command
    app = info.load_app()
  File "/usr/local/lib/python3.8/site-packages/flask/cli.py", line 312, in load_app
    app = locate_app(import_name, None, raise_if_not_found=False)
  File "/usr/local/lib/python3.8/site-packages/flask/cli.py", line 218, in locate_app
    __import__(module_name)
  File "/app/app.py", line 15, in <module>
    limiter = Limiter(
TypeError: __init__() got multiple values for argument 'key_func'

The commands I used in Docker are as follows. Using your Dockerfile

  1. docker build -t lofi .

  2. docker run -p 8080:5000 -v /Lofi/model:/model -v /Lofi/server:/server lofi

Continue training from checkpoint

First, congratulations for the amazing project!!

I would like to know, How can I continue training from the available checkpoint?

Thanks for the project!

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