Input path: /home/debian/html/nutritwin/output_llm/671e42dd99a2d/input.json
Output path: /home/debian/html/nutritwin/output_llm/671e42dd99a2d/output.json
Input text:
DB path: __deriveddata__/DerivedObjects/Data/KcalMeDB_fr.sl3
Picto path: __deriveddata__/DerivedObjects/Data/PictoMatcherNetNG_fr.json
Sport grounding path: __deriveddata__/DerivedObjects/Data/DerivedSportMET.json
==================================================================================================================================
Prompt from user:
==================================================================================================================================
###########################################
# For image extraction, GPT4 is used #
###########################################
==================================== Prompt =============================================
In the image, identify all the foods and the beverages.
For each of them, identify the "name", the "type", the "quantity", if it exists, the "brand" and the "cooking" mode.
"Portions", like "tranche", are quantities.
Ignore what it is not connected to nutrition, beverage or food.
When the "brand" is not specified and the product is very well-known (like "Coca-Cola"), provide the brand name in "brand", otherwise set "brand" to "".
Identify what "type" of food.
Identify the "company" to which the "brand" belongs.
Estimate the "weight" in grams or centiliters for each result.
Identify the time is the current time, map it on the closest case: "petit-déjeuner", "déjeuner", "grignotage" or "dîner".
When the "name" has synonyms, use the most common name, example: "yaourt" is more common than "yogourt".
Format the result for each ingredient of food & beverage in french in JSON in an array of tuples {"name":, "quantity":, "weight":, "cooking":, "brand":, "company":, "type":, "time":, "event": "declaration"}.
=========================================================================================
Image recognition....
------------------------------ LLM Raw response -----------------------------
[
{
"name": "crêpe",
"quantity": "portion",
"weight": "50",
"cooking": "cuite",
"brand": "",
"company": "",
"type": "plat principal ou dessert",
"time": "grignotage",
"event": "declaration"
}
]
-----------------------------------------------------------------------------
----------------- Make it compliant ------------------
[
{
"name": "crêpe",
"quantity": "portion",
"weight": "50",
"cooking": "cuite",
"brand": "",
"company": "",
"type": "plat principal ou dessert",
"time": "grignotage",
"event": "declaration"
}
]
------------------------------------------------------
------------------------ After simplification ------------------------
[ { "name": "crêpe", "quantity": "portion", "weight": "50", "cooking": "cuite", "brand": "", "company": "", "type": "plat principal ou dessert", "time": "grignotage", "event": "declaration" }]
----------------------------------------------------------------------
--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'crêpe', 'quantity': 'portion', 'weight': '50', 'cooking': 'cuite', 'brand': '', 'company': '', 'type': 'plat principal ou dessert', 'time': 'grignotage', 'event': 'declaration'}], 'cost': 0.0}
--------------------------------------------------------------------------------
----------- result to be analyzed -----------
{'name': 'crêpe', 'quantity': 'portion', 'weight': '50', 'cooking': 'cuite', 'brand': '', 'company': '', 'type': 'plat principal ou dessert', 'time': 'grignotage', 'event': 'declaration'}
First try:
SELECT V_Name,V_Comment,V_NormName,V_NormComment,V_PackType,V_GTIN,V_GTINRef,V_ID,V_GlobalCount,V_NormTrademark,V_Trademark,V_NormAggr FROM KCALME_TABLE WHERE V_NormName LIKE '% crepe %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Crêpe Nature - crepe nature - - - 0 - - - KCA#363d7221e1e4cc958336721f2160458c
Crêpes Légères - crepe legere - - - 255 - - - KCA#bc1e0124464a1bc6fd54261c5dabebef
Crêpe Dentelle - crepe dentelle - pour apéritif, au fromage - - 0 - - - CIQ#fb4668c5abc122180997c7f723f8ccc6
Crêpes Dentelles - crepe dentelle - - - 348 - - - KCA#e95a70562112e3ff48df327cc5e9ee1f
Crêpe au Froment - crepe froment - nature - - 247 - - - KCA#8d8d45526a883309c23e836c1f93bd0d
Crêpe au Froment - crepe froment - Sucrée - - 153 - - - KCA#f3a075741edf26f72cf15a4817abab1a
Crêpe au Froment - crepe froment - fourrée au Chocolat - - 69 - - - KCA#c94af12b5bbba434765597aeeef6fd8b
Crêpe au Froment - crepe froment - fourrée à la Confiture - - 275 - - - KCA#54fee6a88a952e7a78f99cccc6cae3dd
Crêpe au Froment - crepe froment - fourrée à la pâte à tartiner Chocolat et Noisettes - - 27 - - - KCA#c96318a3af096b73f0668d162fb6ec23
Crêpes Orientales - crepe orientale - - - 103 - - - KCA#e1dcd2158f0049432f08fa4dd79e8f87
Crêpes aux Pommes - crepe au pomme - - - 75 - - - KCA#a0e7f878a529dc389fee356d79cf9d12
Crêpe Beurre Sucre - crepe beurre sucre - - - 1261 - - - KCA#adf06f3567a044e35baea32b960ad4dc
Crèpe Fourrée au Jambon - crepe fourree jambon - - - 540 - - - KCA#0efb3853222e68b689a8173236f76446
Crêpes de Pomme de Terre - crepe de pomme de terre - à la Ciboulette et à la crème fraîche - - 33 - - - KCA#0a1114f1b76553af228bdab7f098a03e
Crêpe ou Galette Complète - crepe ou galette complete - oeuf, jambon, fromage - - 0 - - - CIQ#b23c053954ca9a8ebaf5a7eb07e46137
Crêpes Fourrées au Chocolat - crepe fourree chocolat - - - 717 - - - KCA#3e332513e2682a174f2df1a216a19c9d
Crêpe aux Champignons Surgelée - crepe au champignon surgelee - - - 85 - - - KCA#eb6e14dc07cb73d84abe35f36d1fb6b8
Crêpe Avec de la Pâte à Tartiner - crepe avec de pate tartiner - - - 22 - - - KCA#0e29452e2da96004b5c5c31b10d63615
Crêpe ou Galette Bretonne au Sarrasin - crepe ou galette bretonne sarrasin - - - 2283 - - - KCA#b5fac8417098cd3d6ccf33a46f66dfd0
Crêpe ou Galette aux Noix de St Jacques - crepe ou galette au noix de st jacque - - - 0 - - - CIQ#3e2b343bae93f94e31adcd95a6a167dc
----------------------------------------------------
ERROR: no solution for picto in the first solution
--------------------------------- final result -----------------------------------
{'prompt': '', 'intents': ['Identify food in an image'], 'model': 'gpt-4o-2024-05-13', 'solutions': {'nutrition': [{'name': 'Crêpe Nature', 'normName': ' crepe nature ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'KCA#363d7221e1e4cc958336721f2160458c', 'quantity': 'portion', 'quantityLem': 'portion', 'pack': ['GA1.w50'], 'type': 'plat principal ou dessert', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'grignotage', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 2.7492802143096924}
----------------------------------------------------------------------------------
LLM CPU Time: 2.7492802143096924