Have 'terraform apply' successfully deploying label studio to hugging…

…face spaces in the 'gcp-modular' directory - created a 'label-studio-hf-module'. Made changes to add options in constants and enums for the new label studio component, and updated logic to allow 'huggingface' to be accepted as a provider at the component level

src/mlstacks/constants.py

@@ -17,6 +17,7 @@
 MLSTACKS_PACKAGE_NAME = "mlstacks"
 MLSTACKS_INITIALIZATION_FILE_FLAG = "IGNORE_ME"
 MLSTACKS_STACK_COMPONENT_FLAGS = [
+    "annotator",
     "artifact_store",
     "container_registry",
     "experiment_tracker",  # takes flavor
@@ -26,6 +27,7 @@
     "step_operator",  # takes flavor
 ]
 ALLOWED_FLAVORS = {
+    "annotator": ["label_studio"],
     "artifact_store": ["s3", "gcp", "minio"],
     "container_registry": ["gcp", "aws", "default"],
     "experiment_tracker": ["mlflow"],
@@ -43,7 +45,8 @@
 }
 ALLOWED_COMPONENT_TYPES: Dict[str, Dict[str, List[str]]] = {
     "aws": {
-        "artifact_store": ["s3"],
+        "annotator": ["huggingface"],
+        "artifact_store": ["s3"],        
         "container_registry": ["aws"],
         "experiment_tracker": ["mlflow"],
         "orchestrator": [
@@ -59,6 +62,7 @@
     },
     "azure": {},
     "gcp": {
+        "annotator": ["huggingface"],
         "artifact_store": ["gcp"],
         "container_registry": ["gcp"],
         "experiment_tracker": ["mlflow"],
@@ -73,6 +77,9 @@
         "model_deployer": ["seldon"],
         "step_operator": ["vertex"],
     },
+    "huggingface": {
+        "annotator": ["label_studio"],
+    },
     "k3d": {
         "artifact_store": ["minio"],
         "container_registry": ["default"],

src/mlstacks/enums.py

@@ -40,6 +40,7 @@ class ComponentFlavorEnum(str, Enum):
     GCP = "gcp"
     KUBEFLOW = "kubeflow"
     KUBERNETES = "kubernetes"
+    LABEL_STUDIO = "label_studio"
     MINIO = "minio"
     MLFLOW = "mlflow"
     S3 = "s3"
@@ -65,6 +66,7 @@ class ProviderEnum(str, Enum):
     AZURE = "azure"
     GCP = "gcp"
     K3D = "k3d"
+    HUGGINGFACE = "huggingface"
 
 
 class AnalyticsEventsEnum(str, Enum):

src/mlstacks/terraform/gcp-modular/label_studio_hf.tf

@@ -0,0 +1,27 @@
+provider "huggingface-spaces" {
+  # alias   = "strickvl"  
+  token = var.huggingface_token
+}
+
+# using the labelstudio huggingface module to create a label studio space on huggingface
+
+module "label_studio_hf" {
+  source = "../modules/label-studio-hf-module"
+  # providers = {
+  #   huggingface-spaces.strickvl = huggingface-spaces.strickvl
+  # }
+  count = var.enable_annotator ? 1 : 0
+  huggingface_token = var.huggingface_token
+  enable_annotator = var.enable_annotator
+}
+
+output "module_huggingface_token" {
+  value = length(module.label_studio_hf) > 0 ? module.label_studio_hf[0].huggingface_token_passed : ""
+  sensitive = true
+}
+
+output "token_hash" {
+  value     = sha256(module.label_studio_hf[0].huggingface_token_passed)
+  sensitive = true
+}
+

src/mlstacks/terraform/gcp-modular/terraform.tf

@@ -29,10 +29,15 @@ terraform {
       source  = "loafoe/htpasswd"
       version = "1.0.3"
     }
+
+    huggingface-spaces = {
+      source  = "strickvl/huggingface-spaces"
+      version = ">= 0.0.4"  # Specify the version or version constraint here
+    }
   }
 
   backend "local" {
-    config = {}
+    # config = {}
   }
 
   required_version = ">= 0.14.8"

src/mlstacks/terraform/gcp-modular/variables.tf

@@ -27,6 +27,20 @@ variable "enable_experiment_tracker_mlflow" {
   description = "Enable MLflow deployment"
   default     = false
 }
+
+variable "enable_annotator" {
+  description = "Enable Label Studio deployment"
+  type        = bool
+  default     = true
+}
+
+variable "huggingface_token" {
+  description = "Huggingface token"
+  type        = string
+  # sensitive     = true
+  default     = ""
+}
+
 variable "enable_model_deployer_seldon" {
   description = "Enable Seldon deployment"
   default     = false

src/mlstacks/terraform/modules/label-studio-hf-module/label-studio.tf

@@ -0,0 +1,13 @@
+resource "huggingface-spaces_space" "ls_space" {
+  provider = huggingface-spaces
+  name     = "label-studio-hf-module-${formatdate("YYYYMMDD", timestamp())}"
+  private  = false
+  sdk      = "docker"
+  template = "LabelStudio/LabelStudio"
+
+  hardware = var.label_studio_hardware
+  sleep_time = var.label_studio_sleep_time
+  storage = "small"
+}
+
+

src/mlstacks/terraform/modules/label-studio-hf-module/outputs.tf

@@ -0,0 +1,41 @@
+data "huggingface-spaces_space" "ls_space_data" {
+  id = huggingface-spaces_space.ls_space.id
+}
+
+output "label_studio_id" {
+  value = huggingface-spaces_space.ls_space.id
+}
+
+output "label_studio_name" {
+  value = data.huggingface-spaces_space.ls_space_data.name
+}
+
+output "label_studio_author" {
+  value = data.huggingface-spaces_space.ls_space_data.author
+}
+
+output "label_studio_last_modified" {
+  value = data.huggingface-spaces_space.ls_space_data.last_modified
+}
+
+output "label_studio_likes" {
+  value = data.huggingface-spaces_space.ls_space_data.likes
+}
+
+output "label_studio_private" {
+  value = data.huggingface-spaces_space.ls_space_data.private
+}
+
+output "label_studio_sdk" {
+  value = data.huggingface-spaces_space.ls_space_data.sdk
+}
+
+output "label_studio_hardware" {
+  value = data.huggingface-spaces_space.ls_space_data.hardware
+}
+
+output "huggingface_token_passed" {
+  value = var.huggingface_token
+}
+
+

src/mlstacks/terraform/modules/label-studio-hf-module/providers.tf

@@ -0,0 +1,9 @@
+terraform {
+  required_providers {
+    huggingface-spaces = {
+      source = "strickvl/huggingface-spaces"
+      version = ">= 0.0.4"
+      # configuration_aliases = [huggingface-spaces.strickvl]
+    }
+  }
+}

src/mlstacks/terraform/modules/label-studio-hf-module/variables.tf

@@ -0,0 +1,69 @@
+variable "huggingface_token" {
+  type        = string
+  description = "The Hugging Face API token."
+  sensitive   = true
+}
+
+variable "enable_annotator" {
+  type        = bool
+  description = "Enable annotator for the Label Studio instance."
+  default     = false
+}
+
+variable "enable_persistent_storage" {
+  type        = bool
+  description = "Enable persistent storage for the Label Studio instance."
+  default     = false
+}
+
+variable "persistent_storage_size" {
+  type        = string
+  description = "The size of the persistent storage for the Label Studio instance."
+  default     = "small"
+}
+
+variable "label_studio_disable_signup_without_link" {
+  type        = bool
+  description = "Disable the signup without link for the Label Studio instance."
+  default     = false
+}
+
+variable "label_studio_username" {
+  type        = string
+  description = "The username for the Label Studio instance."
+  default     = "[email protected]"
+  sensitive = true
+}
+
+variable "label_studio_password" {
+  type        = string
+  description = "The password for the Label Studio instance."
+  default     = "mlstacks"
+  sensitive    = true
+}
+
+variable "label_studio_hardware" {
+  type        = string
+  description = "The hardware for the Label Studio instance."
+  default     = "cpu-basic"
+}
+
+variable "label_studio_template" {
+  type        = string
+  description = "The template for the Label Studio instance."
+  default     = "LabelStudio/LabelStudio"
+}
+
+variable "label_studio_sleep_time" {
+  type        = string
+  description = "The sleep time in seconds for the Label Studio instance. (gc_timeout)"
+  default     = "3600"
+}
+
+variable "label_studio_private" {
+  type        = bool
+  description = "The private flag for the Label Studio instance."
+  default     = false
+}
+
+

src/mlstacks/utils/yaml_utils.py

@@ -122,7 +122,7 @@ def load_stack_yaml(path: str) -> Stack:
     )
 
     for component in stack.components:
-        if component.provider != stack.provider:
+        if component.provider != stack.provider and component.provider != "huggingface":
             raise ValueError(STACK_COMPONENT_PROVIDER_MISMATCH_ERROR_MESSAGE)
 
     return stack