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from textwrap import dedent | |
base_prompt = dedent(""" | |
### Instruction: | |
product description starts here | |
{text} | |
product description ends here | |
this is the categorys list ['BEVERAGES', 'SNACKS & BRANDED FOODS', 'NOT FOUND', 'EGGS, MEAT & FISH', 'FOODGRAINS, OIL & MASALA', 'PERSONAL CARE', 'CLEANING & HOUSEHOLD', 'FRUITS & VEGETABLES', 'BAKERY, CAKES & DAIRY', 'MAKEUP', 'BABY CARE', 'PET FOOD & ACCESSORIES', 'NON FMCG', 'ALCOHOL & TOBACCO', 'WELLNESS', 'EVERYDAY MEDICINE-NEW', 'EXCERCISE & FITNESS', 'ALCOHOLIC BEVERAGES']. | |
Analyse data from the above product description to give me the following details in JSON format: | |
( return "null" where you don't have a answer) | |
"brand": "sample_brand", | |
"mrp": "The price might start with MRP or Rs.", | |
"unit": "per pack", | |
"Quantity": 1, ##num of products visible | |
"parent_category": "from the above given list", | |
"ingredients": ["ingredient1", "ingredient2", "ingredient3"], | |
"calorie_count": "Would be in numbers", | |
"marketed_by": "sample_marketer", | |
"manufactured_by": "sample_manufacturer", | |
"manufactured_in_country": "Country XYZ", | |
"type_of_packaging": "Box", | |
"promotion_on_the_pack": "if any", | |
"type_of_product": "give this your understanding", | |
"pack_of_or_no_of_units": "No. of Units" | |
Analyse data from the above product description to give me the following details in JSON format: | |
Only return the output in the required json format. | |
""") |