e489ad7a21
- **Add SPDX license headers to python source files** - **Check for SPDX headers using pre-commit** commit 9d7ef44c3cfb72ca4c32e1c677d99259d10d4745 Author: Russell Bryant <rbryant@redhat.com> Date: Fri Jan 31 14:18:24 2025 -0500 Add SPDX license headers to python source files This commit adds SPDX license headers to python source files as recommended to the project by the Linux Foundation. These headers provide a concise way that is both human and machine readable for communicating license information for each source file. It helps avoid any ambiguity about the license of the code and can also be easily used by tools to help manage license compliance. The Linux Foundation runs license scans against the codebase to help ensure we are in compliance with the licenses of the code we use, including dependencies. Having these headers in place helps that tool do its job. More information can be found on the SPDX site: - https://spdx.dev/learn/handling-license-info/ Signed-off-by: Russell Bryant <rbryant@redhat.com> commit 5a1cf1cb3b80759131c73f6a9dddebccac039dea Author: Russell Bryant <rbryant@redhat.com> Date: Fri Jan 31 14:36:32 2025 -0500 Check for SPDX headers using pre-commit Signed-off-by: Russell Bryant <rbryant@redhat.com> --------- Signed-off-by: Russell Bryant <rbryant@redhat.com>
78 lines
2.0 KiB
Python
78 lines
2.0 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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import base64
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from io import BytesIO
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from pathlib import Path
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import numpy as np
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import numpy.typing as npt
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from vllm.inputs.registry import InputContext
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from vllm.utils import PlaceholderModule
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from .base import MediaIO, MultiModalPlugin
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from .inputs import AudioItem, ModalityData, MultiModalKwargs
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try:
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import librosa
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except ImportError:
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librosa = PlaceholderModule("librosa") # type: ignore[assignment]
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try:
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import soundfile
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except ImportError:
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soundfile = PlaceholderModule("soundfile") # type: ignore[assignment]
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class AudioPlugin(MultiModalPlugin):
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"""Plugin for audio data."""
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def get_data_key(self) -> str:
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return "audio"
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def _default_input_mapper(
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self,
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ctx: InputContext,
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data: ModalityData[AudioItem],
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**mm_processor_kwargs,
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) -> MultiModalKwargs:
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raise NotImplementedError("There is no default audio input mapper")
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def _default_max_multimodal_tokens(self, ctx: InputContext) -> int:
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raise NotImplementedError(
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"There is no default maximum multimodal tokens")
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def resample_audio(
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audio: npt.NDArray[np.floating],
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*,
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orig_sr: float,
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target_sr: float,
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) -> npt.NDArray[np.floating]:
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return librosa.resample(audio, orig_sr=orig_sr, target_sr=target_sr)
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class AudioMediaIO(MediaIO[tuple[npt.NDArray, float]]):
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def load_bytes(self, data: bytes) -> tuple[npt.NDArray, float]:
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return librosa.load(BytesIO(data), sr=None)
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def load_base64(
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self,
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media_type: str,
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data: str,
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) -> tuple[npt.NDArray, float]:
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return self.load_bytes(base64.b64decode(data))
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def load_file(self, filepath: Path) -> tuple[npt.NDArray, float]:
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return librosa.load(filepath, sr=None)
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def encode_base64(self, media: tuple[npt.NDArray, float]) -> str:
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audio, sr = media
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with BytesIO() as buffer:
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soundfile.write(buffer, audio, sr, format="WAV")
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data = buffer.getvalue()
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return base64.b64encode(data).decode('utf-8')
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