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from langchain.prompts import PromptTemplate
from langchain.chains import LLMChain
from langchain.llms import HuggingFaceHub
from .config import config
from .prompts import prompts
class LLM_chain:
def __init__(self):
self.llm = HuggingFaceHub(
repo_id=config["model"],
model_kwargs={"temperature": config["temperature"], "max_new_tokens": config["max_new_tokens"], "top_k": config["top_k"], "load_in_8bit": config["load_in_8bit"]})
def __call__(self, entity: str, id: int = 0):
template = prompts[id]["prompt_template"]
prompt = PromptTemplate(template=template, input_variables=["entity"])
llm_chain = LLMChain(prompt=prompt, llm=self.llm, verbose=True)
output = llm_chain.invoke(entity)
return output["text"] |