43 lines
1.5 KiB
Python
43 lines
1.5 KiB
Python
# 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 pathlib import Path
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from transformers import is_vision_available, load_tool
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from transformers.testing_utils import get_tests_dir
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from .test_tools_common import ToolTesterMixin
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if is_vision_available():
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from PIL import Image
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class ImageQuestionAnsweringToolTester(unittest.TestCase, ToolTesterMixin):
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def setUp(self):
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self.tool = load_tool("image-question-answering")
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self.tool.setup()
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def test_exact_match_arg(self):
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image = Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO")) / "000000039769.png")
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result = self.tool(image, "How many cats are sleeping on the couch?")
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self.assertEqual(result, "2")
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def test_exact_match_kwarg(self):
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image = Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO")) / "000000039769.png")
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result = self.tool(image=image, question="How many cats are sleeping on the couch?")
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self.assertEqual(result, "2")
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