Katana project is a template for ASAP 🚀 ML application deployment

Related tags

Machine Learningdockermachine-learningapi-restuvicornfastapi-template
Overview

Katana Cover

Introduction 🌻

Katana project is a template for ASAP 🚀 ML application deployment

Checkout demo at- https://katana-demo.herokuapp.com/

Features 🎉

  1. FastAPI inbuilt
  2. Swagger UI and uvicorn integration
  3. Docker ready configuration
  4. Integrated GitHub actions
  5. Production ready code 🚀

Set-up Instructions 🔧

We recommend using flask default serving for development and uvicorn server for production

We included following setup instructions;

  1. Local development
  2. Docker supported deployment

Local Development 👨🏻‍💻

  1. Clone this repo with [email protected]:shaz13/katana.git
  2. Set up environment using python3 -m venv .env
  3. Activate envrionment using
# Linux / Mac / Unix
$ source .env/bin/activate

# Windows
$ \.env\Scripts\activate
  1. Install requirements using pip install -r requirements.txt
  2. For debugging run from root - python main.py
  3. Deploy using Procfile or bash scripts/launch.sh
  4. Your API is being served at localhost:9000

Docker Setup ⛴

  1. Clone this repo with [email protected]:shaz13/katana.git
  2. Install docker in your system
  3. Run docker-compose up
  4. Your local port is mapped and being served at localhost:9000

Capture

Contributors 😎

  1. Mohammad Shahebaz - @shaz13
  2. Aditya Soni - @AdityaSoni19031997

License 👩🏻‍💼

MIT License

Owner
Mohammad Shahebaz
@Kaggle Grandmaster | CFDS @datarobot | OSS @scikit-learn, @oppia
Mohammad Shahebaz
GitHub Repository https://katana-demo.herokuapp.com/
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