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https://github.com/SYSTRAN/faster-whisper.git
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12
.github/workflows/ci.yml
vendored
12
.github/workflows/ci.yml
vendored
@@ -17,10 +17,10 @@ jobs:
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steps:
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- uses: actions/checkout@v4
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- name: Set up Python 3.9
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- name: Set up Python 3.10
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uses: actions/setup-python@v5
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with:
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python-version: 3.9
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python-version: '3.10'
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- name: Install module
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run: |
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@@ -47,10 +47,10 @@ jobs:
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steps:
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- uses: actions/checkout@v4
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- name: Set up Python 3.9
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- name: Set up Python 3.10
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uses: actions/setup-python@v5
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with:
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python-version: 3.9
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python-version: '3.10'
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- name: Install module
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run: |
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@@ -69,10 +69,10 @@ jobs:
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steps:
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- uses: actions/checkout@v4
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- name: Set up Python 3.9
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- name: Set up Python 3.10
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uses: actions/setup-python@v5
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with:
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python-version: 3.9
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python-version: '3.10'
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- name: Install dependencies
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run: |
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@@ -56,7 +56,7 @@ For reference, here's the time and memory usage that are required to transcribe
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## Requirements
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* Python 3.9 or greater
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* Python 3.10 or greater
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Unlike openai-whisper, FFmpeg does **not** need to be installed on the system. The audio is decoded with the Python library [PyAV](https://github.com/PyAV-Org/PyAV) which bundles the FFmpeg libraries in its package.
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4
setup.py
4
setup.py
@@ -45,13 +45,13 @@ setup(
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"License :: OSI Approved :: MIT License",
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3 :: Only",
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"Programming Language :: Python :: 3.9",
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"Programming Language :: Python :: 3.10",
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"Programming Language :: Python :: 3.11",
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"Programming Language :: Python :: 3.12",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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],
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keywords="openai whisper speech ctranslate2 inference quantization transformer",
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python_requires=">=3.9",
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python_requires=">=3.10",
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install_requires=install_requires,
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extras_require={
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"conversion": conversion_requires,
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