47 lines
1.7 KiB
Python
47 lines
1.7 KiB
Python
from typing import Iterable, Optional, Union
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from embedchain.config import BaseLlmConfig
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from embedchain.helper.json_serializable import register_deserializable
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from embedchain.llm.base import BaseLlm
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@register_deserializable
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class GPT4ALLLlm(BaseLlm):
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def __init__(self, config: Optional[BaseLlmConfig] = None):
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super().__init__(config=config)
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if self.config.model is None:
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self.config.model = "orca-mini-3b.ggmlv3.q4_0.bin"
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self.instance = GPT4ALLLlm._get_instance(self.config.model)
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def get_llm_model_answer(self, prompt):
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return self._get_answer(prompt=prompt, config=self.config)
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@staticmethod
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def _get_instance(model):
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try:
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from gpt4all import GPT4All
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except ModuleNotFoundError:
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raise ModuleNotFoundError(
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"The GPT4All python package is not installed. Please install it with `pip install --upgrade embedchain[opensource]`" # noqa E501
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) from None
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return GPT4All(model_name=model)
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def _get_answer(self, prompt: str, config: BaseLlmConfig) -> Union[str, Iterable]:
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if config.model and config.model != self.config.model:
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raise RuntimeError(
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"OpenSourceApp does not support switching models at runtime. Please create a new app instance."
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)
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if config.system_prompt:
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raise ValueError("OpenSourceApp does not support `system_prompt`")
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response = self.instance.generate(
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prompt=prompt,
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streaming=config.stream,
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top_p=config.top_p,
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max_tokens=config.max_tokens,
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temp=config.temperature,
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)
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return response
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