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The repository for the artcile Deploy ML model using Flask, Docker, and Cloud Run where you will learn a step-by-step tutorial on how to deploy a PyTorch implementation of the AlexNet Image classifier.

Repo

.
├── app.py                      > main flask app
├── docker-compose.yaml
├── Dockerfile
├── README.md
├── requirements.txt            > dependencies
├── sample_data
│   ├── input.jpg               > sample input image
│   └── sample_input.json       > JSON with sample input url
└── syndicai.py                 > file needed to deploy via Syndicai Platform

Prerequisites

  • Basic understanding of Python, Docker, REST
  • Access to Google Cloud Platform (if you want to host a model)
  • Trained model from the repository.
  • Installed docker, docker-compose, gcloud, python 3.6
  • Installed all python dependencies listed below. torch==1.7.1, torchvision==0.8.2, flask==1.1.2, requests==2.18.4

Contribute

If you found that material helpful, or have some questions, please let us know via mail or slack.

built with passion by Syndicai.