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feat(ml) backend takes image over HTTP (#2783)

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* using pydantic BaseSetting

* ML API takes image file as input

* keeping image in memory

* reducing duplicate code

* using bytes instead of UploadFile & other small code improvements

* removed form-multipart, using HTTP body

* format code

---------

Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
This commit is contained in:
Zeeshan Khan
2023-06-17 22:49:19 -05:00
committed by GitHub
parent 3e804f16df
commit 34201be74c
8 changed files with 116 additions and 80 deletions
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16
machine-learning/poetry.lock generated
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@@ -1733,6 +1733,8 @@ files = [
{file = "scikit_image-0.21.0-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:c01e3ab0a1fabfd8ce30686d4401b7ed36e6126c9d4d05cb94abf6bdc46f7ac9"},
{file = "scikit_image-0.21.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8ef5d8d1099317b7b315b530348cbfa68ab8ce32459de3c074d204166951025c"},
{file = "scikit_image-0.21.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:78b1e96c59cab640ca5c5b22c501524cfaf34cbe0cb51ba73bd9a9ede3fb6e1d"},
{file = "scikit_image-0.21.0-cp39-cp39-win_amd64.whl", hash = "sha256:9cffcddd2a5594c0a06de2ae3e1e25d662745a26f94fda31520593669677c010"},
{file = "scikit_image-0.21.0.tar.gz", hash = "sha256:b33e823c54e6f11873ea390ee49ef832b82b9f70752c8759efd09d5a4e3d87f0"},
]
[package.dependencies]
@@ -2088,9 +2090,9 @@ opt-einsum = ["opt-einsum (>=3.3)"]
[[package]]
name = "torch"
version = "2.0.1+cpu"
description = ""
description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
optional = false
python-versions = "*"
python-versions = ">=3.8.0"
files = [
{file = "torch-2.0.1+cpu-cp310-cp310-linux_x86_64.whl", hash = "sha256:fec257249ba014c68629a1994b0c6e7356e20e1afc77a87b9941a40e5095285d"},
{file = "torch-2.0.1+cpu-cp310-cp310-win_amd64.whl", hash = "sha256:ca88b499973c4c027e32c4960bf20911d7e984bd0c55cda181dc643559f3d93f"},
@@ -2102,6 +2104,16 @@ files = [
{file = "torch-2.0.1+cpu-cp39-cp39-win_amd64.whl", hash = "sha256:f263f8e908288427ae81441fef540377f61e339a27632b1bbe33cf78292fdaea"},
]
[package.dependencies]
filelock = "*"
jinja2 = "*"
networkx = "*"
sympy = "*"
typing-extensions = "*"
[package.extras]
opt-einsum = ["opt-einsum (>=3.3)"]
[package.source]
type = "legacy"
url = "https://download.pytorch.org/whl/cpu"