[project]
name = "whisper-small-int8-xnnpack-executorch-runtime"
version = "0.1.0"
description = "Runtime dependencies for example.py (Whisper Small INT8, ExecuTorch + XNNPACK)"
requires-python = ">=3.12,<3.13"
dependencies = [
    "executorch==1.1.0",
    "torch==2.10.0",
    "transformers==4.57.1",
    "soundfile==0.13.1",
    "numpy==2.5.2",
]

[tool.uv]
package = false
# The example runs on Arm-based Linux; ExecuTorch and its Vivo X300 export target
# aarch64. Restricting the resolution environment keeps the lock to the wheels
# that platform actually installs.
environments = ["sys_platform == 'linux' and platform_machine == 'aarch64'"]
# coremltools targets Apple Core ML, which this XNNPACK-on-Arm-Linux example
# never uses. Nothing in example.py imports it.
exclude-dependencies = [
    { package = { name = "executorch", version = "1.1.0" }, dependencies = ["coremltools"] },
]

[tool.ai-portal.deployment]
schema-version = "1"
runtime = "executorch"
required-capabilities = ["XnnpackBackend"]

[tool.ai-portal.deployment.ubuntu]
packages = []

[tool.ai-portal.deployment.raspbian]
packages = []

[tool.ai-portal.deployment.files]
expected = ["transcription.json"]