categories/random_/__init__.py

from .model import InformationExtractedFromABillReceipt as PydanticModel

from langchain.chains import LLMChain
from langchain.chat_models import ChatOpenAI
from langchain.output_parsers import PydanticOutputParser, OutputFixingParser
from langchain.prompts import (
    ChatPromptTemplate,
    HumanMessagePromptTemplate,
    SystemMessagePromptTemplate,
)

model = ChatOpenAI(
    temperature=0,
    n=1,
    model_kwargs={
        'stop': None,
        'top_p': 1,
        'frequency_penalty': 0,
        'presence_penalty': 0,
    }
)

# Build category chain
system_message_prompt = SystemMessagePromptTemplate.from_template(
    "You are an information extraction engine that outputs details from OCR processed "
    "documents like uids, total, tax, name, currency, date, seller details, summary. You "
    "may use context to make an educated guess about the currency. Use null if you are "
    "unable to find certain details\n"
    "{format_instructions}"
)
human_message_prompt = HumanMessagePromptTemplate.from_template("{text}")
chat_prompt = ChatPromptTemplate.from_messages(
    [system_message_prompt, human_message_prompt]
)
output_parser = PydanticOutputParser(pydantic_object=PydanticModel)
fixing_parser = OutputFixingParser.from_llm(llm=model, parser=output_parser)
chain = LLMChain(llm=model, prompt=chat_prompt, output_parser=fixing_parser)

if __name__ == "__main__":
    text = """amazonin
we)

Sold By :

Spigen India Pvt. Ltd.

* Rect/Killa Nos. 38//8/2 min, 192//22/1,196//2/1/1,     
37//15/1, 15/2,, Adjacent to Starex School, Village      
- Binola, National Highway -8, Tehsil - Manesar
Gurgaon, Haryana, 122413

IN

PAN No: ABACS5056L
GST Registration No: O6ABACS5056L12Z5

Order Number: 407-5335982-7837125
Order Date: 30.05.2023

Tax Invoice/Bill of Supply/Cash Memo
(Original for Recipient)

Billing Address :

Praveen Bohra

E-303, ParkView City 2, Sector 49, Sohna Road
GURGAON, HARYANA, 122018

IN

State/UT Code: 06

Shipping Address :

Praveen Bohra

Praveen Bohra

E-303, ParkView City 2, Sector 49, Sohna Road
GURGAON, HARYANA, 122018

IN

State/UT Code: 06

Place of supply: HARYANA

Place of delivery: HARYANA

Invoice Number : DEL5-21033
Invoice Details : HR-DEL5-918080915-2324
Invoice Date : 30.05.2023

Description at Tax |Tax /|Tax Total
p y Rate |Type |Amount|Amount

Black) | BO8BHLZHBH ( ACS01744INP )
HSN:39269099

1 |Spigen Liquid Air Back Cover Case for iPhone 12 Mini (TPU | Matte
1846.62] 1 |%846.62| 9% |CGST! %76.19 |%999.00
9% |SGST| %76.19

TOTAL:

Amount in Words:
Nine Hundred Ninety-nine only

Whether tax is payable under reverse charge - No

For Spigen India Pvt. Ltd.:
sSoigenrn

Authorized Signatory

Payment Transaction ID: Date & Time: 30/05/2023, 10:48:43 Invoice Value: Mode of Payment: Credit
2rs9ZEF8BwU9VmWiCc2Us hrs 999.00 Card

*ASSPL-Amazon Seller Services Pvt. Ltd., ARIPL-Amazon Retail India Pvt. Ltd. (only where Amazon Retail India Pvt. Ltd. fulfillment center is co-located)

Customers desirous of availing input GST credit are requested to create a Business account and purchase on Amazon.in/business from Business eligible offers

Please note that this invoice is not a demand for payment

Page 1 of 1"""
    # result = chain.prompt.format_prompt(text=text, format_instructions=fixing_parser.get_format_instructions())
    # print(result.json(indent=4))
    result = chain.generate(input_list=[{"text": text, "format_instructions": fixing_parser.get_format_instructions()}])
    print(result)
    result = fixing_parser.parse_with_prompt(result.generations[0][0].text, chain.prompt.format_prompt(text=text, format_instructions=fixing_parser.get_format_instructions()))
    print(result)
    # result = chain.run(text=text, format_instructions=output_parser.get_format_instructions(), verbose=True)
    # print(result)