Source code for paddlenlp.taskflow.poetry_generation

# coding:utf-8
# Copyright (c) 2021  PaddlePaddle Authors. All Rights Reserved.
#
# 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
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# Unless required by applicable law or agreed to in writing, software
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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from .text_generation import TextGenerationTask

usage = r"""
           from paddlenlp import Taskflow

           poetry = Taskflow("poetry_generation")
           poetry("林密不见人")
           '''
           [{'text': '林密不见人', 'answer': ',但闻人语响。'}]
           '''

           poetry(["林密不见人", "举头邀明月"])
           '''
           [{'text': '林密不见人', 'answer': ',但闻人语响。'}, {'text': '举头邀明月', 'answer': ',低头思故乡。'}]
           '''
         """

URLS = {
    "gpt-cpm-large-cn": [
        "https://bj.bcebos.com/paddlenlp/taskflow/text_generation/gpt-cpm/gpt-cpm-large-cn_params.tar",
        "5aad6f81053cfdbba4797f044fcf66d1",
    ],
}


[docs]class PoetryGenerationTask(TextGenerationTask): """ The text generation model to predict the question or chinese poetry. Args: task(string): The name of task. model(string): The model name in the task. kwargs (dict, optional): Additional keyword arguments passed along to the specific task. """ def __init__(self, task, model, **kwargs): super().__init__(task=task, model=model, **kwargs)