Add AI4EOSC OKD app

templates/ai4eosc_app.yaml

@@ -0,0 +1,62 @@
+tosca_definitions_version: tosca_simple_yaml_1_0
+
+imports:
+  - grycap_custom_types: https://raw.githubusercontent.com/grycap/tosca/main/custom_types.yaml
+
+description: AI4EOSC Plants species classifier
+
+metadata:
+  template_name: AI4EOSC Plants species classifier
+  template_version: "1.0.0"
+  template_author: Miguel Caballer
+
+topology_template:
+
+  inputs:
+    cpu:
+      type: float
+      description: Number of virtual cpus for the container
+      default: 2.0
+    memory:
+      type: scalar-unit.size
+      description: Memory size for the container
+      default: 4 GB
+
+    ai4eosc_model_image:
+      type: string
+      description: Docker image of the model to be deployed
+      default: ai4oshub/plants-classification
+      required: yes
+
+    endpoint:
+      type: string
+      description: DNS name to access the GeoServer instance
+      default: https://plants-ai4eosc
+
+  node_templates:
+
+    ai4eosc_app:
+      type: tosca.nodes.Container.Application.Docker
+      requirements:
+        - host: ai4eosc_runtime
+      artifacts:
+        my_image:
+          file: { get_input: ai4eosc_model_image }
+          type: tosca.artifacts.Deployment.Image.Container.Docker
+
+    # The properties of the runtime to host the container
+    ai4eosc_runtime:
+      type: tosca.nodes.Container.Runtime.Docker
+      capabilities:
+        host:
+          properties:
+            num_cpus: { get_input: cpu }
+            mem_size: { get_input: memory }
+            publish_ports:
+              - target: 5000
+                source: 32050
+                endpoint: { get_input: endpoint }
+
+  outputs:
+    geoserver_url:
+      value: { get_attribute: [ ai4eosc_app, endpoints, 0 ] }