first commit

clean-text-to-keywords/.ipynb_checkpoints/example_usage-checkpoint.py

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+import argparse
+import json
+from typing import Sequence
+
+from keyword_extractor import KeywordExtractor
+
+
+def _build_parser() -> argparse.ArgumentParser:
+    parser = argparse.ArgumentParser(
+        description="Extract normalized keywords from cleaned text.",
+    )
+    parser.add_argument(
+        "text",
+        nargs="+",
+        help="Input text to process. Pass as one quoted string or multiple words.",
+    )
+    parser.add_argument(
+        "--model",
+        default="en_core_web_sm",
+        help="spaCy model name (default: en_core_web_sm).",
+    )
+    return parser
+
+
+def main(argv: Sequence[str] | None = None) -> None:
+    parser = _build_parser()
+    args = parser.parse_args(argv)
+
+    text = " ".join(args.text)
+    extractor = KeywordExtractor.from_default_model(model_name=args.model)
+    keywords = extractor.extract(text)
+    print(json.dumps(keywords))
+
+
+if __name__ == "__main__":
+    main()