56 lines
1.9 KiB
Python
56 lines
1.9 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright 2023 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Maintains set of LLM models that can be instantiated by name."""
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from __future__ import annotations
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import enum
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from typing import Callable
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from google.generativeai.notebook import text_model
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from google.generativeai.notebook.lib import model as model_lib
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class ModelName(enum.Enum):
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ECHO_MODEL = "echo"
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TEXT_MODEL = "text"
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class ModelRegistry:
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"""Registry that instantiates and caches models."""
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DEFAULT_MODEL = ModelName.TEXT_MODEL
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def __init__(self):
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self._model_cache: dict[ModelName, model_lib.AbstractModel] = {}
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self._model_constructors: dict[ModelName, Callable[[], model_lib.AbstractModel]] = {
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ModelName.ECHO_MODEL: model_lib.EchoModel,
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ModelName.TEXT_MODEL: text_model.TextModel,
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}
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def get_model(self, model_name: ModelName) -> model_lib.AbstractModel:
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"""Given `model_name`, return the corresponding Model instance.
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Model instances are cached and reused for the same `model_name`.
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Args:
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model_name: The name of the model.
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Returns:
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The corresponding model instance for `model_name`.
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"""
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if model_name not in self._model_cache:
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self._model_cache[model_name] = self._model_constructors[model_name]()
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return self._model_cache[model_name]
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