Merge pull request #318 from bropines/PS-import-script

* Accelarate performance if you have a [NVIDIA's CUDA](https://pytorch.org/docs/stable/notes/cuda.html) or [AMD's ROCm](https://pytorch.org/docs/stable/notes/hip.html) device as most modules uses [PyTorch](https://pytorch.org/get-started/locally/).

* Fonts are from your system's fonts.

* Thanks to [bropines](https://github.com/bropines) for the Russian localization.

* Added Export to photoshop JSX script by [bropines](https://github.com/bropines). </br> To read the instructions, improve the code and just poke around to see how it works, you can go to `scripts/export to photoshop` -> `install_manual.md`.

from .base import *

import deepl

@register_translator('DeepL')

class DeeplTranslator(BaseTranslator):

    params: Dict = {

        'api_key': '',

        'delay': 0.0,

        'formality': {

            'type': 'selector',

            'options': [

                'less',

                'more',

                'default',

                'prefer_more',

                'prefer_less'

            ],

            'select': 'default'

        },

        'context': {

            'type': 'editor',

            'content': ''  

        },

        'preserve_formatting': {

            'type': 'selector',

            'options': ['enabled', 'disabled'],

            'select': 'disabled' 

        }

    }

    @property

    def preserve_formatting(self) -> bool:

        return self.params['preserve_formatting']['select'] == 'enabled'

    @property

    def context(self) -> str:

        return self.params['context']['content']

    @property

    def formality(self) -> str:

        return self.params['formality']['select']

    def _setup_translator(self):

        self.lang_map['简体中文'] = 'zh'

        self.lang_map['日本語'] = 'ja'

    def _translate(self, src_list: List[str]) -> List[str]:

        api_key = self.params['api_key']

        translator = deepl.Translator(api_key)

        formality_selected = self.formality

        context_text = self.context

        preserve_formatting = self.preserve_formatting

        source = self.lang_map[self.lang_source]

        target = self.lang_map[self.lang_target]

        if source == 'EN-US':

            source = "EN"

        result = translator.translate_text(src_list, source_lang=source, target_lang=target)

        # Languages that support formality setting in DeepL

        languages_supporting_formality = {'de', 'fr', 'it', 'es', 'nl', 'pl', 'pt', 'pt-br', 'ru', 'ja'}

        # Check if the target language supports formality

        if target in languages_supporting_formality:

            result = translator.translate_text(src_list, source_lang=source, target_lang=target, formality=formality_selected, context=context_text, preserve_formatting=preserve_formatting)

        else:

            result = translator.translate_text(src_list, source_lang=source, target_lang=target, context=context_text, preserve_formatting=preserve_formatting)

        return [i.text for i in result]

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einops

termcolor

bs4

deepl

deepl>=1.16.0

qtpy

spacy-pkuseg

sentencepiece