Coretex
transcription.py
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# Copyright (C) 2023 Coretex LLC
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# This file is part of Coretex.ai
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU Affero General Public License as
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# published by the Free Software Foundation, either version 3 of the
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# License, or (at your option) any later version.
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU Affero General Public License for more details.
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# You should have received a copy of the GNU Affero General Public License
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# along with this program. If not, see <https://www.gnu.org/licenses/>.
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# from typing import List, Dict
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# from typing_extensions import Self
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# from pathlib import Path
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# from zipfile import ZipFile
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# import json
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# from .token import Token
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# from ..codable import Codable, KeyDescriptor
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# class Transcription(Codable):
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# """
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# Represents a result of a single transcription
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# Properties:
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# text: str -> transcribed text
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# tokens: List[Token] -> tokens of transcribed text
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# """
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# text: str
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# tokens: List[Token]
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# @classmethod
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# def create(cls, text: str, tokens: List[Token]) -> Self:
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# obj = cls()
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# obj.text = text
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# obj.tokens = tokens
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# return obj
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# @classmethod
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# def load(cls, filePath: Path) -> Self:
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# """
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# Loads saved transcription from a json file
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# Parameters
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# ----------
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# filePath : Path
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# path to json file
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# Returns
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# -------
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# Self -> loaded transcription
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# """
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# with filePath.open("r") as file:
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# return cls.decode(json.load(file))
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# @classmethod
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# def _keyDescriptors(cls) -> Dict[str, KeyDescriptor]:
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# descriptors = super()._keyDescriptors()
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# descriptors["tokens"] = KeyDescriptor("tokens", Token, list)
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# return descriptors
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# def save(self, path: Path) -> Path:
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# """
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# Saves transcription to a zipped json file
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# Parameters
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# ----------
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# path : Path
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# path to json file
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# Returns
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# -------
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# Path -> path to zip file
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# """
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# with path.open("w") as file:
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# json.dump(self.encode(), file, indent = 4)
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# zipPath = path.parent / f"{path.stem}.zip"
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# with ZipFile(zipPath, "w") as zipFile:
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# zipFile.write(str(path), path.name)
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# return zipPath
coretex
nlp
transcription.py
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