ilaria-manco / word2wave Goto Github PK
View Code? Open in Web Editor NEWWord2Wave: a framework for generating short audio samples from a text prompt using WaveGAN and COALA.
Home Page: https://ilariamanco.com/word2wave/
License: MIT License
Word2Wave: a framework for generating short audio samples from a text prompt using WaveGAN and COALA.
Home Page: https://ilariamanco.com/word2wave/
License: MIT License
I'm getting these errors with the command pip install -r requirements.txt
ERROR: Command errored out with exit status 1:
command: 'C:\Users\Computer\anaconda3\python.exe' -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\\Users\\Computer\\AppData\\Local\\Temp\\pip-install-vqe1knc0\\llvmlite_e671eaa75a104e25a13f7826ddcf3a51\\setup.py'"'"'; __file__='"'"'C:\\Users\\Computer\\AppData\\Local\\Temp\\pip-install-vqe1knc0\\llvmlite_e671eaa75a104e25a13f7826ddcf3a51\\setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(__file__) if os.path.exists(__file__) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' bdist_wheel -d 'C:\Users\Computer\AppData\Local\Temp\pip-wheel-a4bxxl_i'
cwd: C:\Users\Computer\AppData\Local\Temp\pip-install-vqe1knc0\llvmlite_e671eaa75a104e25a13f7826ddcf3a51\
Complete output (24 lines):
running bdist_wheel
C:\Users\Computer\anaconda3\python.exe C:\Users\Computer\AppData\Local\Temp\pip-install-vqe1knc0\llvmlite_e671eaa75a104e25a13f7826ddcf3a51\ffi\build.py
Trying generator 'Visual Studio 14 2015 Win64'
Traceback (most recent call last):
File "C:\Users\Computer\AppData\Local\Temp\pip-install-vqe1knc0\llvmlite_e671eaa75a104e25a13f7826ddcf3a51\ffi\build.py", line 192, in <module>
main()
File "C:\Users\Computer\AppData\Local\Temp\pip-install-vqe1knc0\llvmlite_e671eaa75a104e25a13f7826ddcf3a51\ffi\build.py", line 180, in main
main_win32()
File "C:\Users\Computer\AppData\Local\Temp\pip-install-vqe1knc0\llvmlite_e671eaa75a104e25a13f7826ddcf3a51\ffi\build.py", line 89, in main_win32
generator = find_win32_generator()
File "C:\Users\Computer\AppData\Local\Temp\pip-install-vqe1knc0\llvmlite_e671eaa75a104e25a13f7826ddcf3a51\ffi\build.py", line 77, in find_win32_generator
try_cmake(cmake_dir, build_dir, generator)
File "C:\Users\Computer\AppData\Local\Temp\pip-install-vqe1knc0\llvmlite_e671eaa75a104e25a13f7826ddcf3a51\ffi\build.py", line 28, in try_cmake
subprocess.check_call(['cmake', '-G', generator, cmake_dir])
File "C:\Users\Computer\anaconda3\lib\subprocess.py", line 368, in check_call
retcode = call(*popenargs, **kwargs)
File "C:\Users\Computer\anaconda3\lib\subprocess.py", line 349, in call
with Popen(*popenargs, **kwargs) as p:
File "C:\Users\Computer\anaconda3\lib\subprocess.py", line 951, in __init__
self._execute_child(args, executable, preexec_fn, close_fds,
File "C:\Users\Computer\anaconda3\lib\subprocess.py", line 1420, in _execute_child
hp, ht, pid, tid = _winapi.CreateProcess(executable, args,
FileNotFoundError: [WinError 2] The system cannot find the file specified
error: command 'C:\\Users\\Computer\\anaconda3\\python.exe' failed with exit code 1
----------------------------------------
ERROR: Failed building wheel for llvmlite
Running setup.py clean for llvmlite
Successfully built numba
Failed to build llvmlite
Installing collected packages: llvmlite, numba, torch, resampy, audioread, torchaudio, pescador, librosa
Attempting uninstall: llvmlite
Found existing installation: llvmlite 0.37.0
ERROR: Cannot uninstall 'llvmlite'. It is a distutils installed project and thus we cannot accurately determine which files belong to it which would lead to only a partial uninstall.```
It looks like the WaveGAN code in the wavegan-pytorch repo you used assumes that the audio files are split into train
and valid
subdirectories, but the FSL10K dataset doesn't seem to have any information about standard splits on their Zenodo page or in their paper. Do you have any information about the train/valid split you used?
Thanks for sharing the notebook. Could it perhaps be documented a bit more to make it a bit easier for new users (like me) to make it work without crashing? I can't figure out how to fill in the missing information about where to find the weights.
Below is a log of my run...
!nvidia-smi -L
GPU 0: Tesla P100-PCIE-16GB (UUID: GPU-5218d88a-592a-b7c2-d10c-ff61031ab247)
Mounted at /content/drive
Cloning into 'word2wave'...
remote: Enumerating objects: 349, done.
remote: Counting objects: 100% (349/349), done.
remote: Compressing objects: 100% (311/311), done.
remote: Total 349 (delta 185), reused 81 (delta 33), pack-reused 0
Receiving objects: 100% (349/349), 1.10 MiB | 5.21 MiB/s, done.
Resolving deltas: 100% (185/185), done.
/content/word2wave
Requirement already satisfied: matplotlib>=2.2.4 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 1)) (3.2.2)
Requirement already satisfied: numpy>=1.16.3 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 2)) (1.19.5)
Collecting librosa==0.6.3
Downloading librosa-0.6.3.tar.gz (1.6 MB)
|████████████████████████████████| 1.6 MB 5.0 MB/s
Collecting pescador>=2.0.1
Downloading pescador-2.1.0.tar.gz (20 kB)
Requirement already satisfied: torch>=1.1.0 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 5)) (1.10.0+cu111)
Requirement already satisfied: tqdm>=4.32.1 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 6)) (4.62.3)
Collecting numba==0.49.0
Downloading numba-0.49.0-cp37-cp37m-manylinux2014_x86_64.whl (3.6 MB)
|████████████████████████████████| 3.6 MB 36.1 MB/s
Collecting torchaudio==0.8.1
Downloading torchaudio-0.8.1-cp37-cp37m-manylinux1_x86_64.whl (1.9 MB)
|████████████████████████████████| 1.9 MB 64.3 MB/s
Requirement already satisfied: audioread>=2.0.0 in /usr/local/lib/python3.7/dist-packages (from librosa==0.6.3->-r requirements.txt (line 3)) (2.1.9)
Requirement already satisfied: scipy>=1.0.0 in /usr/local/lib/python3.7/dist-packages (from librosa==0.6.3->-r requirements.txt (line 3)) (1.4.1)
Requirement already satisfied: scikit-learn!=0.19.0,>=0.14.0 in /usr/local/lib/python3.7/dist-packages (from librosa==0.6.3->-r requirements.txt (line 3)) (1.0.1)
Requirement already satisfied: joblib>=0.12 in /usr/local/lib/python3.7/dist-packages (from librosa==0.6.3->-r requirements.txt (line 3)) (1.1.0)
Requirement already satisfied: decorator>=3.0.0 in /usr/local/lib/python3.7/dist-packages (from librosa==0.6.3->-r requirements.txt (line 3)) (4.4.2)
Requirement already satisfied: six>=1.3 in /usr/local/lib/python3.7/dist-packages (from librosa==0.6.3->-r requirements.txt (line 3)) (1.15.0)
Requirement already satisfied: resampy>=0.2.0 in /usr/local/lib/python3.7/dist-packages (from librosa==0.6.3->-r requirements.txt (line 3)) (0.2.2)
Requirement already satisfied: setuptools in /usr/local/lib/python3.7/dist-packages (from numba==0.49.0->-r requirements.txt (line 7)) (57.4.0)
Collecting llvmlite<=0.33.0.dev0,>=0.31.0.dev0
Downloading llvmlite-0.32.1-cp37-cp37m-manylinux1_x86_64.whl (20.2 MB)
|████████████████████████████████| 20.2 MB 1.3 MB/s
Collecting torch>=1.1.0
Downloading torch-1.8.1-cp37-cp37m-manylinux1_x86_64.whl (804.1 MB)
|████████████████████████████████| 804.1 MB 2.6 kB/s
Requirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from torch>=1.1.0->-r requirements.txt (line 5)) (3.10.0.2)
Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=2.2.4->-r requirements.txt (line 1)) (2.8.2)
Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=2.2.4->-r requirements.txt (line 1)) (3.0.6)
Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=2.2.4->-r requirements.txt (line 1)) (1.3.2)
Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=2.2.4->-r requirements.txt (line 1)) (0.11.0)
Requirement already satisfied: pyzmq>=15.0 in /usr/local/lib/python3.7/dist-packages (from pescador>=2.0.1->-r requirements.txt (line 4)) (22.3.0)
Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.7/dist-packages (from scikit-learn!=0.19.0,>=0.14.0->librosa==0.6.3->-r requirements.txt (line 3)) (3.0.0)
Building wheels for collected packages: librosa, pescador
Building wheel for librosa (setup.py) ... done
Created wheel for librosa: filename=librosa-0.6.3-py3-none-any.whl size=1573336 sha256=fff7ac07e9d03aa008fcf3f1f369f8acffdb27082d75ffead993dfeb62fb468d
Stored in directory: /root/.cache/pip/wheels/de/c1/94/619fb8b04ee1f567115662d26650677ecf79bc7d8e462d21f8
Building wheel for pescador (setup.py) ... done
Created wheel for pescador: filename=pescador-2.1.0-py3-none-any.whl size=21104 sha256=4a7aaeaff3c65a1913ee3bad1cbd83c1c6e541790056b38a2848a31f5568f4e9
Stored in directory: /root/.cache/pip/wheels/f0/e3/c6/32d30d5eb5292dac352d2fca4ebf393aa94e09b9b8b4b0f341
Successfully built librosa pescador
Installing collected packages: llvmlite, numba, torch, torchaudio, pescador, librosa
Attempting uninstall: llvmlite
Found existing installation: llvmlite 0.34.0
Uninstalling llvmlite-0.34.0:
Successfully uninstalled llvmlite-0.34.0
Attempting uninstall: numba
Found existing installation: numba 0.51.2
Uninstalling numba-0.51.2:
Successfully uninstalled numba-0.51.2
Attempting uninstall: torch
Found existing installation: torch 1.10.0+cu111
Uninstalling torch-1.10.0+cu111:
Successfully uninstalled torch-1.10.0+cu111
Attempting uninstall: torchaudio
Found existing installation: torchaudio 0.10.0+cu111
Uninstalling torchaudio-0.10.0+cu111:
Successfully uninstalled torchaudio-0.10.0+cu111
Attempting uninstall: librosa
Found existing installation: librosa 0.8.1
Uninstalling librosa-0.8.1:
Successfully uninstalled librosa-0.8.1
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
torchvision 0.11.1+cu111 requires torch==1.10.0, but you have torch 1.8.1 which is incompatible.
torchtext 0.11.0 requires torch==1.10.0, but you have torch 1.8.1 which is incompatible.
kapre 0.3.6 requires librosa>=0.7.2, but you have librosa 0.6.3 which is incompatible.
Successfully installed librosa-0.6.3 llvmlite-0.32.1 numba-0.49.0 pescador-2.1.0 torch-1.8.1 torchaudio-0.8.1
/usr/local/lib/python3.7/dist-packages/librosa/util/decorators.py:9: NumbaDeprecationWarning: An import was requested from a module that has moved location.
Import requested from: 'numba.decorators', please update to use 'numba.core.decorators' or pin to Numba version 0.48.0. This alias will not be present in Numba version 0.50.0.
from numba.decorators import jit as optional_jit
/usr/local/lib/python3.7/dist-packages/librosa/util/decorators.py:9: NumbaDeprecationWarning: An import was requested from a module that has moved location.
Import of 'jit' requested from: 'numba.decorators', please update to use 'numba.core.decorators' or pin to Numba version 0.48.0. This alias will not be present in Numba version 0.50.0.
from numba.decorators import jit as optional_jit
But then part that says...
drive_path: "/content/drive/<path/to/word2wave_files/>"
...it's not clear from the notebook what to enter in this string.
I see further up in the output that it seems to have installed into /content/word2wave
, but when I type that into the prompt, I get
cp: cannot stat '/content/word2wavewavegan': No such file or directory
cp: cannot stat '/content/word2wavecoala': No such file or directory
mv: cannot stat '/content/word2wave/coala/coala/': No such file or directory
Looking around on Drive, I see...
!ls /content/drive
MyDrive Shareddrives
If I just ignore the above errors and try to run the notebook with no changes, then when it comes to the part for generating with "firework", I see:
NameError Traceback (most recent call last)
<ipython-input-9-cf00c4445550> in <module>()
9 id2tag = json.load(open('/content/word2wave/coala/id2token_top_1000.json', 'rb'))
10
---> 11 check_text_input(text)
<ipython-input-7-0cff9a5913d2> in check_text_input(text)
28
29 def check_text_input(text):
---> 30 _, words_in_dict, words_not_in_dict = word2wave.tokenize_text(text)
31 if not words_in_dict:
32 raise Exception("All the words in the text prompt are out-of-vocabulary, please try with another prompt")
NameError: name 'word2wave' is not defined
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