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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, | |
) | |
model = ChatOpenAI(temperature=0) | |
# Build categorizing chain | |
human_message_prompt = HumanMessagePromptTemplate.from_template( | |
"Parse through and find the following details from the text extracted from a travel " | |
"bill\n" | |
"{format_instructions}\n" | |
"{text}" | |
) | |
chat_prompt = ChatPromptTemplate.from_messages([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) | |