google/generativeai/notebook/magics.py (54 lines of code) (raw):
# -*- coding: utf-8 -*-
# Copyright 2023 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Colab Magics class.
Installs %%llm magics.
"""
from __future__ import annotations
import abc
from google.auth import credentials
from google.generativeai import client as genai
from google.generativeai.notebook import gspread_client
from google.generativeai.notebook import ipython_env
from google.generativeai.notebook import ipython_env_impl
from google.generativeai.notebook import magics_engine
from google.generativeai.notebook import post_process_utils
from google.generativeai.notebook import sheets_utils
import IPython
from IPython.core import magic
# Set the UA to distinguish the magic from the client. Do this at import-time
# so that a user can still call `genai.configure()`, and both their settings
# and this are honored.
genai.USER_AGENT = "genai-py-magic"
SheetsInputs = sheets_utils.SheetsInputs
SheetsOutputs = sheets_utils.SheetsOutputs
# Decorator functions for post-processing.
post_process_add_fn = post_process_utils.post_process_add_fn
post_process_replace_fn = post_process_utils.post_process_replace_fn
# Globals.
_ipython_env: ipython_env.IPythonEnv | None = None
def _get_ipython_env() -> ipython_env.IPythonEnv:
"""Lazily constructs and returns a global IPythonEnv instance."""
global _ipython_env
if _ipython_env is None:
_ipython_env = ipython_env_impl.IPythonEnvImpl()
return _ipython_env
def authorize(creds: credentials.Credentials) -> None:
"""Sets up credentials.
This is used for interacting Google APIs, such as Google Sheets.
Args:
creds: The credentials that will be used (e.g. to read from Google Sheets.)
"""
gspread_client.authorize(creds=creds, env=_get_ipython_env())
class AbstractMagics(abc.ABC):
"""Defines interface to Magics class."""
@abc.abstractmethod
def llm(self, cell_line: str | None, cell_body: str | None):
"""Perform various LLM-related operations.
Args:
cell_line: String to pass to the MagicsEngine.
cell_body: Contents of the cell body.
"""
raise NotImplementedError()
class MagicsImpl(AbstractMagics):
"""Actual class implementing the magics functionality.
We use a separate class to ensure a single, global instance
of the magics class.
"""
def __init__(self):
self._engine = magics_engine.MagicsEngine(env=_get_ipython_env())
def llm(self, cell_line: str | None, cell_body: str | None):
"""Perform various LLM-related operations.
Args:
cell_line: String to pass to the MagicsEngine.
cell_body: Contents of the cell body.
Returns:
Results from running MagicsEngine.
"""
cell_line = cell_line or ""
cell_body = cell_body or ""
return self._engine.execute_cell(cell_line, cell_body)
@magic.magics_class
class Magics(magic.Magics):
"""Class to register the magic with Colab.
Objects of this class delegate all calls to a single,
global instance.
"""
# Global instance
_instance = None
@classmethod
def get_instance(cls) -> AbstractMagics:
"""Retrieve global instance of the Magics object."""
if cls._instance is None:
cls._instance = MagicsImpl()
return cls._instance
@magic.line_cell_magic
def llm(self, cell_line: str | None, cell_body: str | None):
"""Perform various LLM-related operations.
Args:
cell_line: String to pass to the MagicsEngine.
cell_body: Contents of the cell body.
Returns:
Results from running MagicsEngine.
"""
return Magics.get_instance().llm(cell_line=cell_line, cell_body=cell_body)
@magic.line_cell_magic
def palm(self, cell_line: str | None, cell_body: str | None):
return self.llm(cell_line, cell_body)
@magic.line_cell_magic
def gemini(self, cell_line: str | None, cell_body: str | None):
return self.llm(cell_line, cell_body)
IPython.get_ipython().register_magics(Magics)