Add init labels command

spacy/cli/__init__.py

@@ -16,6 +16,7 @@ from .debug_model import debug_model  # noqa: F401
 from .evaluate import evaluate  # noqa: F401
 from .convert import convert  # noqa: F401
 from .init_pipeline import init_pipeline_cli  # noqa: F401
+from .init_labels import init_labels_cli  # noqa: F401
 from .init_config import init_config, fill_config  # noqa: F401
 from .validate import validate  # noqa: F401
 from .project.clone import project_clone  # noqa: F401

spacy/cli/init_labels.py

@@ -0,0 +1,43 @@
+from typing import Optional
+import logging
+from pathlib import Path
+from wasabi import msg
+import typer
+import srsly
+
+from .. import util
+from ..training.initialize import init_nlp, convert_vectors
+from ._util import init_cli, Arg, Opt, parse_config_overrides, show_validation_error
+from ._util import import_code, setup_gpu
+
+
+@init_cli.command(
+    "labels",
+    context_settings={"allow_extra_args": True, "ignore_unknown_options": True},
+)
+def init_labels_cli(
+    # fmt: off
+    ctx: typer.Context,  # This is only used to read additional arguments
+    config_path: Path = Arg(..., help="Path to config file", exists=True),
+    output_path: Path = Arg(..., help="Output directory for the labels"),
+    code_path: Optional[Path] = Opt(None, "--code", "-c", help="Path to Python file with additional code (registered functions) to be imported"),
+    verbose: bool = Opt(False, "--verbose", "-V", "-VV", help="Display more information for debugging purposes"),
+    use_gpu: int = Opt(-1, "--gpu-id", "-g", help="GPU ID or -1 for CPU")
+    # fmt: on
+):
+    if not output_path.exists():
+        output_path.mkdir()
+    util.logger.setLevel(logging.DEBUG if verbose else logging.ERROR)
+    overrides = parse_config_overrides(ctx.args)
+    import_code(code_path)
+    setup_gpu(use_gpu)
+    with show_validation_error(config_path):
+        config = util.load_config(config_path, overrides=overrides)
+    with show_validation_error(hint_fill=False):
+        nlp = init_nlp(config, use_gpu=use_gpu, silent=False)
+    for name, component in nlp.pipeline:
+        if getattr(component, "label_data", None) is not None:
+            srsly.write_json(output_path / f"{name}.json", component.label_data)
+            msg.good(f"Saving {name} labels to {output_path}/{name}.json")
+        else:
+            msg.info(f"No labels found for {name}")