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Merged
merged 11 commits into from
May 4, 2023
Merged

Python 3.11 #1171

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6ec4d54
python 3.11
johnnynunez Mar 30, 2023
3a4a95a
python 3.11
johnnynunez Mar 30, 2023
a124b58
fix
johnnynunez Mar 30, 2023
4dbb547
fix
johnnynunez Mar 30, 2023
06dc24a
fix
johnnynunez Mar 30, 2023
87fc109
revert changes
johnnynunez Mar 30, 2023
e2cfaff
Update requirements.txt
johnnynunez Mar 30, 2023
a8f4102
Merge branch 'main' into main
johnnynunez Apr 15, 2023
2f038d2
Trying pip3 install instead
jongwook May 4, 2023
24badca
Excluding cp39 - torch 1.10.2
jongwook May 4, 2023
dd5a5fb
Removing 1.10.2 from test
jongwook May 4, 2023
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13 changes: 7 additions & 6 deletions .github/workflows/test.yml
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Expand Up @@ -11,15 +11,16 @@ jobs:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: ['3.8', '3.9', '3.10']
pytorch-version: [1.10.2, 1.13.1]
python-version: ['3.8', '3.9', '3.10', '3.11']
pytorch-version: [1.13.1, 2.0.0]
exclude:
- python-version: '3.10'
pytorch-version: 1.10.2
- python-version: '3.11'
pytorch-version: 1.13.1
steps:
- uses: conda-incubator/setup-miniconda@v2
- run: conda install -n test ffmpeg python=${{ matrix.python-version }} pytorch=${{ matrix.pytorch-version }} cpuonly -c pytorch
- uses: actions/checkout@v2
- run: conda install -n test ffmpeg python=${{ matrix.python-version }}
- run: pip3 install torch==${{ matrix.pytorch-version }}+cpu --index-url https://download.pytorch.org/whl/cpu
- uses: actions/checkout@v3
- run: echo "$CONDA/envs/test/bin" >> $GITHUB_PATH
- run: pip install .["dev"]
- run: black --check --diff -t py38 --include '(\.pyi?)$' .
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4 changes: 3 additions & 1 deletion README.md
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Expand Up @@ -17,7 +17,9 @@ A Transformer sequence-to-sequence model is trained on various speech processing

## Setup

We used Python 3.9.9 and [PyTorch](https://pytorch.org/) 1.10.1 to train and test our models, but the codebase is expected to be compatible with Python 3.8-3.10 and recent PyTorch versions. The codebase also depends on a few Python packages, most notably [OpenAI's tiktoken](https://github.com/openai/tiktoken) for their fast tokenizer implementation and [ffmpeg-python](https://github.com/kkroening/ffmpeg-python) for reading audio files. You can download and install (or update to) the latest release of Whisper with the following command:

We used Python 3.9.9 and [PyTorch](https://pytorch.org/) 1.10.1 to train and test our models, but the codebase is expected to be compatible with Python 3.8-3.11 and recent PyTorch versions. The codebase also depends on a few Python packages, most notably [OpenAI's tiktoken](https://github.com/openai/tiktoken) for their fast tokenizer implementation and [ffmpeg-python](https://github.com/kkroening/ffmpeg-python) for reading audio files. You can download and install (or update to) the latest release of Whisper with the following command:


pip install -U openai-whisper

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2 changes: 1 addition & 1 deletion requirements.txt
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Expand Up @@ -3,5 +3,5 @@ numpy
torch
tqdm
more-itertools
tiktoken==0.3.1
tiktoken==0.3.3
ffmpeg-python==0.2.0