Reduce PyTorch project bundle size to be able to deploy to Lambda

[franciscohanna92]

The project is too heavy to run on AWS Lambda. It throws the following error when trying to deploy:

STDERR: ERROR: Could not install packages due to an EnvironmentError: [Errno 28] No space left on device

Torch is the heaviest dependency. Almost 800MB.

[nietzscheson]

AWS have a service: https://aws.amazon.com/es/pytorch/ locally we could use the PyTorch Docker image. In production the AWS service...

[elcronos]

Hmm we could have sage maker for that but it's a bit expensive. We will use it just if it's the last option.

[ajhenaor]

What about dockerizing the model and deploying it using AWS ECS?

[aenriquerg]

Lamdbas will last until we reach a high traffic (it will become expensive). We should consider basing the architecture on AWS ECS, so it can help to handle cost.