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)
Mount your drive
Mounted at /content/drive
Install Word2Wave, import necessary packages
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)
|โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ| 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)
|โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ| 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)
|โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ| 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)
|โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ| 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)
|โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ| 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...
Copy the pre-trained WaveGAN and COALA weights from drive
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