update .env files and enable machine learning on immich

docker_compose/audiobookshelf/docker-compose.yaml

@@ -14,6 +14,7 @@ services:
             - PUID=1000 # Use your actual host UID
             - PGID=1000 # Use your actual host GID
         restart: unless-stopped
+
 volumes:
     books_nfs:
         driver: local

docker_compose/dozzel/docker-compose.yaml

@@ -6,5 +6,5 @@ services:
         volumes:
             - /var/run/docker.sock:/var/run/docker.sock:ro
         ports:
-            - 4343:8080
-        restart: always
+            - ${DOZZEL_PORT}:8080
+        restart: unless-stopped

docker_compose/immich/docker-compose.yaml

@@ -17,36 +17,42 @@ services:
         env_file:
             - .env
         ports:
-            - "2283:2283"
+            - "${IMMICH_PORT}:2283"
         depends_on:
             - redis
             - database
-        restart: always
+        restart: unless-stopped
         healthcheck:
             disable: false
+        networks:
+                - immich-network
 
-    # immich-machine-learning:
-    #     container_name: immich_machine_learning
-    #     # For hardware acceleration, add one of -[armnn, cuda, openvino] to the image tag.
-    #     # Example tag: ${IMMICH_VERSION:-release}-cuda
-    #     image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}
-    #     # extends: # uncomment this section for hardware acceleration - see https://immich.app/docs/features/ml-hardware-acceleration
-    #     #   file: hwaccel.ml.yml
-    #     #   service: cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference - use the `-wsl` version for WSL2 where applicable
-    #     volumes:
-    #         - model-cache:/cache
-    #     env_file:
-    #         - .env
-    #     restart: always
-    #     healthcheck:
-    #         disable: false
+    immich-machine-learning:
+        container_name: immich_machine_learning
+        # For hardware acceleration, add one of -[armnn, cuda, openvino] to the image tag.
+        # Example tag: ${IMMICH_VERSION:-release}-cuda
+        image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}
+        # extends: # uncomment this section for hardware acceleration - see https://immich.app/docs/features/ml-hardware-acceleration
+        #   file: hwaccel.ml.yml
+        #   service: cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference - use the `-wsl` version for WSL2 where applicable
+        volumes:
+            - ${MACHINE_LEARNING_CACHE}:/cache
+        env_file:
+            - .env
+        restart: unless-stopped
+        healthcheck:
+            disable: false
+        networks:
+                - immich-network
 
     redis:
         container_name: immich_redis
         image: docker.io/valkey/valkey:8@sha256:81db6d39e1bba3b3ff32bd3a1b19a6d69690f94a3954ec131277b9a26b95b3aa
         healthcheck:        
             test: redis-cli ping || exit 1
-        restart: always
+        restart: unless-stopped
+        networks:
+                - immich-network
 
 
     database:
@@ -62,18 +68,22 @@ services:
             # Do not edit the next line. If you want to change the database storage location on your system, edit the value of DB_DATA_LOCATION in the .env file
             - ${DB_DATA_LOCATION}:/var/lib/postgresql/data
         shm_size: 128mb
-        restart: always
+        restart: unless-stopped
+        networks:
+                - immich-network
 
-volumes:
+#volumes:
     #model-cache:
 
-    immich-library:
-        name: immich-library
-        driver_opts:
-            type: nfs
-            o: addr=truenas,nolock,soft,rw
-            device: :/mnt/store/vault/app/immich/library
+    # immich-library:
+    #     name: immich-library
+    #     driver_opts:
+    #         type: nfs
+    #         o: addr=truenas,nolock,soft,rw
+    #         device: :/mnt/store/vault/app/immich/library
             
 networks:
-    frontend:
-        external: true
+    immich-network:
+        driver: bridge
+    # frontend:
+    #     external: true