hf-similarity-check / model0.py
Mitul Mohammad Abdullah Al Mukit
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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')