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102 lines
2.9 KiB
Python
102 lines
2.9 KiB
Python
#
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# Copyright 2024 The InfiniFlow Authors. All Rights Reserved.
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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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#
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from abc import ABC
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from agent.component.base import ComponentBase, ComponentParamBase
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import deepl
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class DeepLParam(ComponentParamBase):
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"""
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Define the DeepL component parameters.
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"""
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def __init__(self):
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super().__init__()
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self.auth_key = "xxx"
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self.parameters = []
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self.source_lang = "ZH"
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self.target_lang = "EN-GB"
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def check(self):
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self.check_valid_value(
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self.source_lang,
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"Source language",
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["AR", "BG", "CS", "DA", "DE", "EL", "EN", "ES", "ET", "FI", "FR", "HU", "ID", "IT", "JA", "KO", "LT", "LV", "NB", "NL", "PL", "PT", "RO", "RU", "SK", "SL", "SV", "TR", "UK", "ZH"],
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)
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self.check_valid_value(
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self.target_lang,
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"Target language",
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[
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"AR",
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"BG",
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"CS",
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"DA",
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"DE",
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"EL",
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"EN-GB",
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"EN-US",
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"ES",
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"ET",
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"FI",
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"FR",
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"HU",
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"ID",
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"IT",
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"JA",
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"KO",
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"LT",
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"LV",
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"NB",
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"NL",
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"PL",
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"PT-BR",
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"PT-PT",
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"RO",
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"RU",
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"SK",
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"SL",
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"SV",
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"TR",
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"UK",
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"ZH",
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],
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)
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class DeepL(ComponentBase, ABC):
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component_name = "DeepL"
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def _run(self, history, **kwargs):
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if self.check_if_canceled("DeepL processing"):
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return
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ans = self.get_input()
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ans = " - ".join(ans["content"]) if "content" in ans else ""
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if not ans:
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return DeepL.be_output("")
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if self.check_if_canceled("DeepL processing"):
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return
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try:
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translator = deepl.Translator(self._param.auth_key)
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result = translator.translate_text(ans, source_lang=self._param.source_lang, target_lang=self._param.target_lang)
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return DeepL.be_output(result.text)
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except Exception as e:
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if self.check_if_canceled("DeepL processing"):
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return
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return DeepL.be_output("**Error**:" + str(e))
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