| # coding=utf-8 | |
| # Copyright 2023 HuggingFace Inc. | |
| # | |
| # 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 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| import unittest | |
| from transformers import is_torch_available, load_tool | |
| from .test_tools_common import ToolTesterMixin | |
| if is_torch_available(): | |
| import torch | |
| class SpeechToTextToolTester(unittest.TestCase, ToolTesterMixin): | |
| def setUp(self): | |
| self.tool = load_tool("speech-to-text") | |
| self.tool.setup() | |
| def test_exact_match_arg(self): | |
| result = self.tool(torch.ones(3000)) | |
| self.assertEqual(result, " you") | |
| def test_exact_match_kwarg(self): | |
| result = self.tool(audio=torch.ones(3000)) | |
| self.assertEqual(result, " you") | |