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36 lines
1.2 KiB
Python
36 lines
1.2 KiB
Python
import unittest
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import numpy as np
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import gradio as gr
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import gradio.inputs
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import gradio.outputs
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class TestInterface(unittest.TestCase):
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def test_input_output_mapping(self):
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io = gr.Interface(inputs='SketCHPad', outputs='TexT', fn=lambda x:
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x, analytics_enabled=False)
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self.assertIsInstance(io.input_interfaces[0], gradio.inputs.Sketchpad)
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self.assertIsInstance(io.output_interfaces[0], gradio.outputs.Textbox)
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def test_input_interface_is_instance(self):
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inp = gradio.inputs.Image()
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io = gr.Interface(inputs=inp, outputs='teXT', fn=lambda x: x,
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analytics_enabled=False)
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self.assertEqual(io.input_interfaces[0], inp)
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def test_output_interface_is_instance(self):
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out = gradio.outputs.Label()
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io = gr.Interface(inputs='SketCHPad', outputs=out, fn=lambda x: x,
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analytics_enabled=False)
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self.assertEqual(io.output_interfaces[0], out)
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def test_prediction(self):
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def model(x):
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return 2*x
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io = gr.Interface(inputs='textbox', outputs='TEXT', fn=model,
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analytics_enabled=False)
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self.assertEqual(io.predict[0](11), 22)
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if __name__ == '__main__':
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unittest.main() |