rename utility to docling-tools

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

docling/cli/models_download.py

@@ -24,7 +24,8 @@ err_console = Console(stderr=True)
 
 
 app = typer.Typer(
-    name="Docling model helper",
+    name="Docling models helper",
+    no_args_is_help=True,
     add_completion=False,
     pretty_exceptions_enable=False,
 )
@@ -149,9 +150,9 @@ def download(
         )
 
 
-@app.command(hidden=True)
-def other():
-    raise NotImplementedError()
+# @app.command(hidden=True)
+# def other():
+#     raise NotImplementedError()
 
 
 click_app = typer.main.get_command(app)

docling/cli/tools.py

@@ -0,0 +1,17 @@
+import typer
+
+from docling.cli.models_download import app as models_app
+
+app = typer.Typer(
+    name="Docling helpers",
+    no_args_is_help=True,
+    add_completion=False,
+    pretty_exceptions_enable=False,
+)
+
+app.add_typer(models_app, name="models")
+
+click_app = typer.main.get_command(app)
+
+if __name__ == "__main__":
+    app()

docs/examples/offline_convert.py

@@ -4,7 +4,7 @@ from docling.datamodel.base_models import InputFormat
 from docling.datamodel.pipeline_options import EasyOcrOptions, PdfPipelineOptions
 from docling.document_converter import DocumentConverter, PdfFormatOption
 
-# The location of the local artifacts, e.g. from the `docling-models download` command
+# The location of the local artifacts, e.g. from the `docling-tools models download` command
 artifacts_path = Path("PATH TO MODELS")  # <-- fill me
 pipeline_options = PdfPipelineOptions(artifacts_path=artifacts_path)
 pipeline_options.ocr_options = EasyOcrOptions(

docs/usage.md

@@ -50,10 +50,10 @@ doc_converter = DocumentConverter(
 )
 ```
 
-To download all the artifacts needed to run offline, Docling provides the `docling-models download` utility.
+To download all the artifacts needed to run offline, Docling provides the `docling-tools models download` utility.
 
 ```sh
-$ docling-models download
+$ docling-tools models download
 Downloading layout model...
 Downloading tableformer model...
 Downloading picture classifier model...

pyproject.toml

@@ -125,7 +125,7 @@ rapidocr = ["rapidocr-onnxruntime", "onnxruntime"]
 
 [tool.poetry.scripts]
 docling = "docling.cli.main:app"
-docling-models = "docling.cli.models_download:app"
+docling-tools = "docling.cli.tools:app"
 
 [build-system]
 requires = ["poetry-core"]