Fixes with dockek.internal.host

Author: makseq

label_studio_ml/examples/gliner/docker-compose.yml

@@ -32,6 +32,8 @@ services:
       # Determine the actual IP using 'ifconfig' (Linux/Mac) or 'ipconfig' (Windows).
       - LABEL_STUDIO_URL=http://host.docker.internal:8080
       - LABEL_STUDIO_API_KEY=
+    extra_hosts:
+      - "host.docker.internal:host-gateway"  # for macos and unix      
     ports:
       - "9090:9090"
     volumes:

label_studio_ml/examples/llm_interactive/docker-compose.yml

@@ -45,6 +45,8 @@ services:
       # specify these parameters if you want to use basic auth for the model server
       - BASIC_AUTH_USER=
       - BASIC_AUTH_PASS=
+    extra_hosts:
+      - "host.docker.internal:host-gateway"  # for macos and unix
     ports:
       - 9090:9090
     volumes:

label_studio_ml/examples/tesseract/docker-compose.yml

@@ -29,6 +29,8 @@ services:
       - AWS_ACCESS_KEY_ID=your-MINIO_ROOT_USER
       - AWS_SECRET_ACCESS_KEY=your-MINIO_ROOT_PASSWORD
       - AWS_ENDPOINT=http://host.docker.internal:9000
+    extra_hosts:
+      - "host.docker.internal:host-gateway"  # for macos and unix
 
   minio:
     container_name: minio

label_studio_ml/examples/timeseries_segmenter/docker-compose.yml

@@ -13,15 +13,15 @@ services:
       # LABEL_STUDIO_HOST: This is the host URL for Label Studio, used for training.
       # It can be set via environment variable "LABEL_STUDIO_HOST".
       # If not set, it defaults to 'http://localhost:8080'.
-      - LABEL_STUDIO_HOST=${LABEL_STUDIO_HOST:-http://localhost:8080}
+      - LABEL_STUDIO_HOST=${LABEL_STUDIO_HOST:-http://host.docker.internal:8080}
       # LABEL_STUDIO_API_KEY: This is the API key for Label Studio, used for training.
       # It can be set via environment variable "LABEL_STUDIO_API_KEY".
       # There is no default value for this, so it must be set.
       - LABEL_STUDIO_API_KEY=${LABEL_STUDIO_API_KEY}
       # START_TRAINING_EACH_N_UPDATES: This is the number of updates after which training starts.
       # It is an integer value and can be set via environment variable "START_TRAINING_EACH_N_UPDATES".
       # If not set, it defaults to 10.
-      - START_TRAINING_EACH_N_UPDATES=${START_TRAINING_EACH_N_UPDATES:-10}
+      - START_TRAINING_EACH_N_UPDATES=${START_TRAINING_EACH_N_UPDATES:-1}
       # specify these parameters if you want to use basic auth for the model server
       - BASIC_AUTH_USER=
       - BASIC_AUTH_PASS=
@@ -34,6 +34,8 @@ services:
       - THREADS=8
       # specify the model directory (likely you don't need to change this)
       - MODEL_DIR=/data/models
+    extra_hosts:
+      - "host.docker.internal:host-gateway"  # for macos and unix
     ports:
       - "9090:9090"
     volumes:

label_studio_ml/examples/watsonx_llm/docker-compose.yml

@@ -55,7 +55,8 @@ services:
       # The name of the schema within the catalog that you'll insert your data into
       - WATSONX_SCHEMA=
       - WATSONX_TABLE=
-
+    extra_hosts:
+      - "host.docker.internal:host-gateway"  # for macos and unix
 
     ports:
       - "9090:9090"

label_studio_ml/examples/yolo/docker-compose.yml

@@ -29,8 +29,8 @@ services:
       # Use prefix 'http://' or 'https://' for the URL always.
       # Determine the actual IP using 'ifconfig' (Linux/Mac) or 'ipconfig' (Windows).
       # or you can try http://host.docker.internal:<label-studio-port> if you run LS on the same machine
-      - LABEL_STUDIO_URL=http://host.docker.internal:8080
-      - LABEL_STUDIO_API_KEY=
+      - LABEL_STUDIO_HOST=${LABEL_STUDIO_HOST:-http://host.docker.internal:8080}
+      - LABEL_STUDIO_API_KEY=${LABEL_STUDIO_API_KEY}
 
       # YOLO parameters
 
@@ -43,6 +43,8 @@ services:
       - MODEL_SCORE_THRESHOLD=0.5
       # Model root directory, where the YOLO model files are stored
       - MODEL_ROOT=/app/models
+    extra_hosts:
+      - "host.docker.internal:host-gateway"  # for macos and unix      
     ports:
       - "9090:9090"
     volumes: