RadART App ONNX Model

AI Model that predicts the style of paintings. Deployed on AWS EC2.

How to test on my machine locally ?

• Clone the repository. Also you can download by ZIP.

• Update the value of the 'signature_dir' on line 17 in the 'app.py' file with the file path of the project.

• Install dependencies:

  pip install -r requirements.txt

• Run app.py:

  python app.py OR python3 app.py

• Create an API request to your localhost:

  curl -X POST -H "Content-Type: application/json" -d '{"image": "$(base64 -w 0 YOUR_INPUT_IMAGE_PATH OR BASE64 FORMAT OF INPUT IMAGE)"}' http://127.0.0.1:5000/predict

• If it doesn't works, encode your input image to base64 from this website (https://www.base64-image.de) and paste after "image: " directly in request command.

How to create an API endpoint ?

You can learn how to deploy this or a similar model on AWS and create an API endpoint from this article > https://medium.com/@rmgoktas/deploy-a-machine-learning-onnx-model-on-aws-ec2-using-flask-41d0823b7064