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AI Shop - AI Image Processing Service

This service is responsible for processing images using AI models. It is a RESTful service that accepts an image URL and returns the information extracted from it:

  • Item label
  • Item brand
  • Item model
  • Item condition
  • Item description
  • Item price

The service uses the Azure OpenAI API GPT-4o to generate the information based on the image. The information is then returned to the caller.

Run locally

To run the AI Image Processing Service locally, you need first to build the common module and then start the service. Follow the instructions below in the order they are presented:

  1. Build the common module

  2. Ensure that the Eurka Server is running. If not, start the Eureka Server

  3. Set the following environment variables. You will get the values in the Azure AI Foundry Portal https://ai.azure.com:

    export AZURE_OPENAI_ENDPOINT=<your-azure-openai-endpoint>
export AZURE_OPENAI_API_KEY=<your-azure-openai-api-key>

  4. Start the AI Image Processing Service in folder src/ai-image-processing-service/ using the local profile. The local profile disables Azure credential auto-configuration (DefaultAzureCredential) so the API key is used instead:

    ./mvnw spring-boot:run -Dspring-boot.run.profiles=local -DskipTests

Build the image and push it to Azure Container Registry

  1. Set the following environment variables:

    CONTAINER_REGISTRY_NAME=<your-acr-name>
TAG=1.1.0

  2. Login to Azure Container Registry

    az acr login --name $CONTAINER_REGISTRY_NAME

  3. Build the image

    docker build -t $CONTAINER_REGISTRY_NAME.azurecr.io/ai-image-processing-service:$TAG .

  4. Push the image

    docker push $CONTAINER_REGISTRY_NAME.azurecr.io/ai-image-processing-service:$TAG