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Code Issues Releases Activity

feat: OpenAI Ingredient Parsing (#3581)

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Michael Genson 2024-05-22 04:45:07 -05:00 • committed by GitHub
parent 4c8bbdcde2
commit 5c57b3dd1a
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28 changed files with 789 additions and 274 deletions
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7
frontend/lang/messages/en-US.json
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@ -594,6 +594,7 @@
"select-parser": "Select Parser",
"natural-language-processor": "Natural Language Processor",
"brute-parser": "Brute Parser",
"openai-parser": "OpenAI Parser",
"parse-all": "Parse All",
"no-unit": "No unit",
"missing-unit": "Create missing unit: {unit}",
@ -764,7 +765,10 @@
"recipe-scraper-version": "Recipe Scraper Version",
"oidc-ready": "OIDC Ready",
"oidc-ready-error-text": "Not all OIDC Values are configured. This can be ignored if you are not using OIDC Authentication.",
"oidc-ready-success-text": "Required OIDC variables are all set."
"oidc-ready-success-text": "Required OIDC variables are all set.",
"openai-ready": "OpenAI Ready",
"openai-ready-error-text": "Not all OpenAI Values are configured. This can be ignored if you are not using OpenAI features.",
"openai-ready-success-text": "Required OpenAI variables are all set."
},
"shopping-list": {
"all-lists": "All Lists",
@ -1170,6 +1174,7 @@
"ingredients-natural-language-processor-explanation-2": "It's not perfect, but it yields great results in general and is a good starting point for manually parsing ingredients into individual fields. Alternatively, you can also use the \"Brute\" processor that uses a pattern matching technique to identify ingredients.",
"nlp": "NLP",
"brute": "Brute",
"openai": "OpenAI",
"show-individual-confidence": "Show individual confidence",
"ingredient-text": "Ingredient Text",
"average-confident": "{0} Confident",