from cnocr import CnOcr import openai from dotenv import load_dotenv import os import json def model0(path): ocr = CnOcr(rec_model_name='en_PP-OCRv3') out = ocr.ocr(path) print(out) load_dotenv() openai.api_key = os.environ.get("data-extraction-api") invalid_list = [' ',','] data_set_1 = [] for item in out: if item['text'] not in invalid_list: data_set_1.append(item['text']) completion = openai.ChatCompletion.create( model = "gpt-3.5-turbo", temperature = 0, messages = [ {"role": "system", "content": "You are an AI assistant for extracting data from HKID card with following information \ (name, HKID number, date of issue) from HKID card. Uppercase and lowercase letters are the same. Store the results in \ dictionary format"}, {"role": "user", "content": f"Extract data from the following set of text: {data_set_1}. \ You have three types of data to extract. \ 1. id card holder full name (it noramlly is a chinese name, including surname and family \ name in English spelling, and it may be separate in different fields in the data set for surname and family name \ sometimes) \ 2. issue date (should be a date with month and day, e.g. 19-97 is the required format, but 26-11-18 is not \ because date of issue of have 5 characters) Only choose valid format!!! \ 3. HKID number (The standard format of HKID number is @123456(#) e.g. A123456(7) is a valid HKID number. \ (a) @ represents any one or two capital letters of the alphabet. \ (b) # is the check digit which has 11 possible values from 0 to 9 and A.) \ Remember to include the check digit with () \ Only reply a dictionary. No need to add other words or explanation. Use double quote for dictionary."}, ] ) data = completion['choices'][0]['message']['content'] print(data) id_data = json.loads(data) print(id_data) return # return [name, valid_hkid, hkid, issuedate] model0('dontTouchMe/IMG_4499.jpg')