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SecretFlow-Serving\n\n[![CircleCI](https://dl.circleci.com/status-badge/img/gh/secretflow/serving/tree/main.svg?style=svg)](https://dl.circleci.com/status-badge/redirect/gh/secretflow/serving/tree/main)\n\nSecretFlow-Serving is a serving system for privacy-preserving machine learning models.\n\n## Serve a model\n\n```bash\n# Download the Secretflow Serving Docker image\ndocker pull secretflow/serving-anolis8:latest\n\n# Start Secretflow Serving container and open the REST API port\ncd examples\n\ndocker-compose up -d\n\n# Query the model using the predict API\ncurl --location 'http://127.0.0.1:9010/PredictionService/Predict' \\\n    --header 'Content-Type: application/json' \\\n    --data '{\n        \"service_spec\": {\n            \"id\": \"test_service_id\"\n        },\n        \"fs_params\": {\n            \"alice\": {\n                \"query_datas\": [\n                    \"a\"\n                ]\n            },\n            \"bob\": {\n                \"query_datas\": [\n                    \"a\"\n                ]\n            }\n        }\n    }'\n\n```\n\n## Contribution Guidelines\n\nIf you would like to contribute to SecretFlow-Serving, please check [Contribution guidelines](CONTRIBUTING.md).\n\nThis documentation also contains instructions for [build and testing](CONTRIBUTING.md#build).\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsecretflow%2Fserving","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsecretflow%2Fserving","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsecretflow%2Fserving/lists"}