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from llama_index.llms.openai_like import OpenAILike
from llama_index.llms.openai import OpenAI
from llama_index.llms.huggingface_api import HuggingFaceInferenceAPI
from args import LLMInterface, Args
class LLMFactory():
@classmethod
def create(cls, interface: LLMInterface, system_prompt, temperature = None, max_tokens = None):
if interface == LLMInterface.OPENAILIKE:
return cls._openailike_create(system_prompt, temperature, max_tokens)
elif interface == LLMInterface.OPENAI:
return cls._openai_create(system_prompt, temperature, max_tokens)
elif interface == LLMInterface.HUGGINGFACE:
return cls._hf_create(system_prompt, temperature, max_tokens)
else:
raise ValueError(f"Interface '{interface}' is not supported !")
@staticmethod
def _openailike_create(system_prompt, temperature=None, max_tokens=None):
kwargs = {
"model": Args.model_name,
"api_base": Args.api_base,
"api_key": Args.api_key,
"system_prompt": system_prompt,
}
if temperature is not None:
kwargs["temperature"] = temperature
if max_tokens is not None:
kwargs["max_tokens"] = max_tokens
llm = OpenAILike(**kwargs)
return llm
@staticmethod
def _openai_create(system_prompt, temperature = None, max_tokens = None):
kwargs = {
"model": Args.model_name,
"api_key": Args.api_key,
"system_prompt": system_prompt,
}
if temperature is not None:
kwargs["temperature"] = temperature
if max_tokens is not None:
kwargs["max_tokens"] = max_tokens
llm = OpenAI(**kwargs)
return llm
@staticmethod
def _hf_create(system_prompt, temperature = None, max_tokens = None):
kwargs = {
"model_name": Args.model_name,
"system_prompt": system_prompt,
"token": Args.token,
}
if temperature is not None:
kwargs["temperature"] = temperature
if max_tokens is not None:
kwargs["max_tokens"] = max_tokens
llm = HuggingFaceInferenceAPI(**kwargs)
return llm |