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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']. | |
| Get the text from the product image and 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.", | |
| "price": "The price might start with MRP or Rs.", | |
| "unit": "per pack", | |
| "Quantity": 1, ## num of products visible in the image | |
| "parent_category": "from the above given list", | |
| "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" | |
| "description" : "Generate a description of the product" | |
| "weight" : "If the weight is mentioned in the Image or OCR Text" | |
| 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. | |
| """) | |
| gpt3 = dedent(""" I am providing you with a OCR text about a product. | |
| OCR TEXT : {text} | |
| I want you to provide me with the name of prodcut in following JSON format: | |
| "product_name" : "BRU instant coffee". | |
| """) | |
| voice_edit = dedent(""" | |
| ### Instruction: | |
| audio transcription starts here | |
| {text} | |
| audio transcription ends here | |
| I want you to provide the json format with all the details filled as mentioned below by getting information from the audio transcription. | |
| ( return "null" where you don't have a answer) | |
| "brand": "sample_brand", | |
| "mrp": "12", ##price of product | |
| "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" | |
| Only return the output in the required json format with string in enclosed in double quotes. | |
| """) |