inference_blueprint.yaml

title: RUL Inference
version: 1.0.0
description: Predict when a company asset is likely to fail within given cycles using a pretrained CNN and a custom dataset
long_description: Predict when a company asset like a machine is likely to fail within given cycles using a pretrained CNN and a custom dataset.
author: "cnvrg"
author_email: "libhub@cnvrg.io"

tags:
  - inference

tasks:
  - title: inference
    top: 400
    left: 300
 
    type: deploy

    library: rul-inference
    library_version: 1.0.0

    command: python3 predict.py
    kind: webservice
    requirements:
      cpu: 3.5
      memory: 8
      gpu: 0
      hpu: 0

    image: cnvrg/cnvrg:v5.0
    language: python3

    accept_files: false

    file_name: predict.py
    flask_config:
    - key: DEBUG
      value: 'True'
    - key: TESTING
      value: 'True'
    function_name: predict
    gunicorn_config:
      - key: workers
        value: '1'
    prep_file: ''
    prep_function: ''
    input_example:
      img: file
    input_schema:
      img: file
    output_schema: {}
      
relations: []