chains/summary.py

from langchain.chains import LLMChain
from langchain.prompts.chat import (
    ChatPromptTemplate,
    SystemMessagePromptTemplate,
    HumanMessagePromptTemplate)
from chains.azure_openai import CustomAzureOpenAI
from prompts.summary import system_template, human_template
from config import OPENAI_API_TYPE, OPENAI_API_VERSION, OPENAI_API_KEY, OPENAI_API_BASE, DEPLOYMENT_ID, API_KEY
from langchain.chat_models import ChatOpenAI

class WebSummary(LLMChain):
    prompt = ChatPromptTemplate.from_messages(
        [SystemMessagePromptTemplate.from_template(
            system_template),
         HumanMessagePromptTemplate.from_template(human_template)
         ])
    # llm = CustomAzureOpenAI(deployment_name=DEPLOYMENT_ID,
    #                 openai_api_type=OPENAI_API_TYPE,
    #                 openai_api_base=OPENAI_API_BASE,
    #                 openai_api_version=OPENAI_API_VERSION,
    #                 openai_api_key=OPENAI_API_KEY,
    #                 temperature=0.0)
    llm = ChatOpenAI(model_name="gpt-4",
                    openai_api_key=API_KEY,
                    temperature=0.0)