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37 lines
1.4 KiB
Python
37 lines
1.4 KiB
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
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import unittest
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from modelscope.models import Model
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from modelscope.pipelines import pipeline
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from modelscope.preprocessors import DialogueClassificationUsePreprocessor
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from modelscope.utils.constant import Tasks
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from modelscope.utils.test_utils import test_level
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class UserSatisfactionEstimationTest(unittest.TestCase):
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model_id = 'damo/nlp_user-satisfaction-estimation_chinese'
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input_dialogue = [('返修退换货咨询|||', '手机有质量问题怎么办|||稍等，我看下', '开不开机了|||',
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'说话|||很好')]
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@unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
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def test_run_with_model_from_modelhub(self):
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model = Model.from_pretrained(self.model_id)
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preprocessor = DialogueClassificationUsePreprocessor(model.model_dir)
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pipeline_ins = pipeline(
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task=Tasks.text_classification,
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model=model,
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preprocessor=preprocessor)
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print(pipeline_ins(input=self.input_dialogue))
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_run_with_model_name(self):
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pipeline_ins = pipeline(
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task=Tasks.text_classification, model=self.model_id)
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print(pipeline_ins(input=self.input_dialogue))
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if __name__ == '__main__':
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unittest.main()
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