textproc/py-spacy-llm: Add py-spacy-llm 0.7.1

Structured NLP with LLMs

spacy-llm integrates Large Language Models (LLMs) into spaCy, featuring a
modular system for fast prototyping and prompting, and turning unstructured
responses into robust outputs for various NLP tasks, no training data required.

textproc/Makefile

@@ -1559,6 +1559,7 @@
     SUBDIR += py-snowballstemmer
     SUBDIR += py-spacy
     SUBDIR += py-spacy-legacy
+    SUBDIR += py-spacy-llm
     SUBDIR += py-sparqlwrapper
     SUBDIR += py-sphinx
     SUBDIR += py-sphinx-argparse

textproc/py-spacy-llm/Makefile

@@ -0,0 +1,24 @@
+PORTNAME=	spacy-llm
+PORTVERSION=	0.7.1
+CATEGORIES=	textproc python
+MASTER_SITES=	PYPI
+PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
+
+MAINTAINER=	sunpoet@FreeBSD.org
+COMMENT=	Integrate LLMs into structured NLP pipelines
+WWW=		https://spacy.io/usage/large-language-models \
+		https://github.com/explosion/spacy-llm
+
+LICENSE=	MIT
+LICENSE_FILE=	${WRKSRC}/LICENSE
+
+BUILD_DEPENDS=	${PYTHON_PKGNAMEPREFIX}confection>=0.1.3<1.0.0:devel/py-confection@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}Jinja2>=0:devel/py-Jinja2@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}spacy>=3.5<4.0:textproc/py-spacy@${PY_FLAVOR}
+
+USES=		python
+USE_PYTHON=	autoplist concurrent distutils
+
+NO_ARCH=	yes
+
+.include <bsd.port.mk>

textproc/py-spacy-llm/distinfo

@@ -0,0 +1,3 @@
+TIMESTAMP = 1708448856
+SHA256 (spacy-llm-0.7.1.tar.gz) = c59fe8fbf71aee1bc4243488ecdb7b7e9b3df81877d5e7ac661b899b658b73d6
+SIZE (spacy-llm-0.7.1.tar.gz) = 149795

textproc/py-spacy-llm/pkg-descr

@@ -0,0 +1,5 @@
+Structured NLP with LLMs
+
+spacy-llm integrates Large Language Models (LLMs) into spaCy, featuring a
+modular system for fast prototyping and prompting, and turning unstructured
+responses into robust outputs for various NLP tasks, no training data required.