From 42235243153847e78f52de0f85afc7d857840c42 Mon Sep 17 00:00:00 2001 From: royashcenazi <37100955+royashcenazi@users.noreply.github.com> Date: Wed, 10 May 2023 14:19:28 +0300 Subject: [PATCH] parsigs universe (#12616) * parsigs universe * added model installation explanation in the description * Update website/meta/universe.json Co-authored-by: Basile Dura * added model installement instruction in the code example --------- Co-authored-by: Basile Dura --- website/meta/universe.json | 25 ++++++++++++++++++++++++- 1 file changed, 24 insertions(+), 1 deletion(-) diff --git a/website/meta/universe.json b/website/meta/universe.json index c63e40e42..44842289c 100644 --- a/website/meta/universe.json +++ b/website/meta/universe.json @@ -1,5 +1,28 @@ { "resources": [ + { + "id": "parsigs", + "title": "parsigs", + "slogan": "Structuring prescriptions text made simple using spaCy", + "description": "Parsigs is an open-source project that aims to extract the relevant dosage information from prescriptions text without compromising the patient's privacy.\n\nNotice you also need to install the model in order to use the package: `pip install https://huggingface.co/royashcenazi/en_parsigs/resolve/main/en_parsigs-any-py3-none-any.whl`", + "github": "royashcenazi/parsigs", + "pip": "parsigs", + "code_language": "python", + "author": "Roy Ashcenazi", + "code_example": [ + "# You'll need to install the trained model, see instructions in the description section", + "from parsigs.parse_sig_api import StructuredSig, SigParser", + "sig_parser = SigParser()", + "", + "sig = 'Take 1 tablet of ibuprofen 200mg 3 times every day for 3 weeks'", + "parsed_sig = sig_parser.parse(sig)" + ], + "author_links": { + "github": "royashcenazi" + }, + "category": ["model", "research"], + "tags": ["sigs", "prescription","pharma"] + }, { "id": "latincy", "title": "LatinCy", @@ -26,7 +49,7 @@ }, "category": ["pipeline", "research"], "tags": ["latin"] - }, + }, { "id": "spacy-wasm", "title": "spacy-wasm",