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Update Hammurabi example code to v3 (#9218)
* Update Hammurabi example code * Fix typo
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@ -3238,33 +3238,61 @@
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"github": "babylonhealth/hmrb",
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"pip": "hmrb",
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"code_example": [
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"import spacy # __version__ 3.0+",
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"import spacy",
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"from hmrb.core import SpacyCore",
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"",
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"nlp = spacy.load(\"en_core_web_sm\")",
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"sentences = \"I love gorillas. Peter loves gorillas. Jane loves Tarzan.\"",
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"",
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"def conj_be(subj: str) -> str:",
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" if subj == \"I\":",
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" return \"am\"",
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" elif subj == \"you\":",
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" return \"are\"",
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" else:",
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" return \"is\"",
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"",
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"@spacy.registry.callbacks(\"gorilla_callback\")",
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"def gorilla_clb(seq: list, span: slice, data: dict) -> None:",
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" subj = seq[span.start].text",
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" be = conj_be(subj)",
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" print(f\"{subj} {be} a gorilla person.\")",
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"@spacy.registry.callbacks(\"lover_callback\")",
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"def lover_clb(seq: list, span: slice, data: dict) -> None:",
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" print(f\"{seq[span][-1].text} is a love interest of {seq[span.start].text}.\")",
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"",
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"grammar = \"\"\"",
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"Var is_hurting:",
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"(",
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" optional (lemma: \"be\")",
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" (lemma: \"hurt\")",
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")",
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"Law:",
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" - package: \"headache\"",
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" - callback: \"mark_headache\"",
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"(",
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" (lemma: \"head\", pos: \"NOUN\")",
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" $is_hurting",
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")\"\"\"",
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" Law:",
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" - callback: \"loves_gorilla\"",
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" (",
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" ((pos: \"PROPN\") or (pos: \"PRON\"))",
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" (lemma: \"love\")",
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" (lemma: \"gorilla\")",
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" )",
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" Law:",
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" - callback: \"loves_someone\"",
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" (",
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" (pos: \"PROPN\")",
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" (lower: \"loves\")",
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" (pos: \"PROPN\")",
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" )",
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"\"\"\"",
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"",
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"@spacy.registry.augmenters(\"jsonify_span\")",
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"def jsonify_span(span):",
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" return [{\"lemma\": token.lemma_, \"pos\": token.pos_, \"lower\": token.lower_} for token in span]",
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"",
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"conf = {",
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" \"rules\": grammar",
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" \"rules\": grammar,",
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" \"callbacks\": {",
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" \"mark_headache\": \"callbacks.headache_handler\",",
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" },",
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" \"loves_gorilla\": \"callbacks.gorilla_callback\",",
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" \"loves_someone\": \"callbacks.lover_callback\",",
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" },",
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" \"map_doc\": \"augmenters.jsonify_span\",",
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" \"sort_length\": True,",
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"}",
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"nlp = spacy.load(\"en_core_web_sm\")",
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"nlp.add_pipe(\"hammurabi\", config=conf)",
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"",
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"nlp.add_pipe(\"hmrb\", config=conf)",
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"nlp(sentences)"
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],
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"code_language": "python",
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