Deploying a Image Recognition Service to AWS Lambda

The source code is available in my repository . Start a New Project First, create an new virtual environment: python -m venv ~/pyvenvs/lambda I used venv for creating the environment, and I named it lambda and placed it in the ~/pyvenvs directory. You may use any other environment manager and name as you wish. I will name the project resnet-image-recognition : mkdir resnet-image-recognition cd resnet-image-recognition The Python packages we are going to use are awslambdaric AWS need this package, the runtime interface client, to manage the interaction betweeen Lambda and our source code. See more details here . It will be used as the entry point of the container, as we will see later. pydantic My ~go-to~ only choice for defining data models. fastapi[standard] Framework for building APIs. Use standard feature here to install the fastapi CLI. mangum An adapter for running ASGI applications in AWS Lambda. It is used to wrap our FastAPI app: Mangum(app) . torch We use PyTorch to define the