39 lines
1.1 KiB
Python
39 lines
1.1 KiB
Python
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# coding=utf-8
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# Copyright 2023 HuggingFace Inc.
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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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import unittest
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from transformers import is_torch_available, load_tool
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from .test_tools_common import ToolTesterMixin
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if is_torch_available():
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import torch
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class SpeechToTextToolTester(unittest.TestCase, ToolTesterMixin):
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def setUp(self):
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self.tool = load_tool("speech-to-text")
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self.tool.setup()
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def test_exact_match_arg(self):
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result = self.tool(torch.ones(3000))
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self.assertEqual(result, " you")
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def test_exact_match_kwarg(self):
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result = self.tool(audio=torch.ones(3000))
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self.assertEqual(result, " you")
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