sample-custom-model.py

#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import kfp.compiler as compiler
import kfp.dsl as dsl
from kfp import components

# kfserving_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/master/'
#                                                   'components/kubeflow/kfserving/component.yaml')
kserve_op = components.load_component_from_url(
    "https://raw.githubusercontent.com/kubeflow/pipelines/"
    "master/components/kserve/component.yaml"
)


@dsl.pipeline(name="KServe pipeline", description="A pipeline for KServe.")
def kservePipeline(
    action="apply",
    model_name="max-image-segmenter",
    namespace="anonymous",
    custom_model_spec='{"name": "image-segmenter", "image": "codait/max-image-segmenter:latest", "port": "5000"}',
):
    kserve_op(
        action=action,
        model_name=model_name,
        namespace=namespace,
        custom_model_spec=custom_model_spec,
    )


if __name__ == "__main__":
    compiler.Compiler().compile(kservePipeline, __file__ + ".tar.gz")