gradio/test/test_inputs.py

from re import sub
import unittest
import gradio as gr
import PIL
import numpy as np
from pydub import AudioSegment
import os


class TestTextbox(unittest.TestCase):
    def test_as_component(self):
        text_input = gr.inputs.Textbox()
        self.assertEqual(text_input.preprocess("Hello World!"), "Hello World!")
        self.assertEqual(text_input.preprocess_example("Hello World!"), "Hello World!")
        self.assertEqual(text_input.serialize("Hello World!", True), "Hello World!")
        to_save = text_input.save_flagged("flagged", "text_input", "Hello World!", None)
        self.assertEqual(to_save, "Hello World!")
        restored = text_input.restore_flagged("Hello World!")
        self.assertEqual(restored, "Hello World!")
        self.assertIsInstance(text_input.generate_sample(), str)

    def test_in_interface(self):
        iface = gr.Interface(lambda x: x[::-1], "textbox", "textbox")
        self.assertEqual(iface.process(["Hello"])[0], ["olleH"])
        iface = gr.Interface(lambda sentence: max([len(word) for word in sentence.split()]), gr.inputs.Textbox(),
                             gr.outputs.Textbox(), interpretation="default")
        scores, alternative_outputs = iface.interpret(["Return the length of the longest word in this sentence"])
        self.assertEqual(scores, [[('Return', 0.0), (' ', 0), ('the', 0.0), (' ', 0), ('length', 0.0), (' ', 0),
                                   ('of', 0.0), (' ', 0), ('the', 0.0), (' ', 0), ('longest', 0.0), (' ', 0),
                                   ('word', 0.0), (' ', 0), ('in', 0.0), (' ', 0), ('this', 0.0), (' ', 0),
                                   ('sentence', 1.0), (' ', 0)]])
        self.assertEqual(alternative_outputs, [[['8'], ['8'], ['8'], ['8'], ['8'], ['8'], ['8'], ['8'], ['8'], ['7']]])


class TestNumber(unittest.TestCase):
    def test_as_component(self):
        numeric_input = gr.inputs.Number()
        self.assertEqual(numeric_input.preprocess(3), 3.0)
        self.assertEqual(numeric_input.preprocess_example(3), 3)
        self.assertEqual(numeric_input.serialize(3, True), 3)
        to_save = numeric_input.save_flagged("flagged", "text_input", 3, None)
        self.assertEqual(to_save, 3)
        restored = numeric_input.restore_flagged(3)
        self.assertEqual(restored, 3)
        self.assertIsInstance(numeric_input.generate_sample(), float)

    def test_in_interface(self):
        iface = gr.Interface(lambda x: x**2, "number", "textbox")
        self.assertEqual(iface.process([2])[0], ['4.0'])
        iface = gr.Interface(lambda x: x**2, "number", "textbox", interpretation="default")
        scores, alternative_outputs = iface.interpret([2])
        self.assertEqual(scores, [[(1.94, -0.23640000000000017), (1.96, -0.15840000000000032),
                                    (1.98, -0.07960000000000012), [2, None], (2.02, 0.08040000000000003),
                                    (2.04, 0.16159999999999997), (2.06, 0.24359999999999982)]])
        self.assertEqual(alternative_outputs, [[['3.7636'], ['3.8415999999999997'], ['3.9204'], ['4.0804'], ['4.1616'],
                                                ['4.2436']]])


class TestSlider(unittest.TestCase):
    def test_in_interface(self):
        iface = gr.Interface(lambda x: str(x) + " cats", "slider", "textbox")
        self.assertEqual(iface.process([4])[0], ["4 cats"])


class TestCheckbox(unittest.TestCase):
    def test_in_interface(self):
        iface = gr.Interface(lambda x: "yes" if x else "no", "checkbox", "textbox")
        self.assertEqual(iface.process([False])[0], ["no"])


class TestCheckboxGroup(unittest.TestCase):
    def test_in_interface(self):
        checkboxes = gr.inputs.CheckboxGroup(["a", "b", "c"])
        iface = gr.Interface(lambda x: "|".join(x), checkboxes, "textbox")
        self.assertEqual(iface.process([["a", "c"]])[0], ["a|c"])
        self.assertEqual(iface.process([[]])[0], [""])
        checkboxes = gr.inputs.CheckboxGroup(["a", "b", "c"], type="index")
        iface = gr.Interface(lambda x: "|".join(map(str, x)), checkboxes, "textbox")
        self.assertEqual(iface.process([["a", "c"]])[0], ["0|2"])


class TestRadio(unittest.TestCase):
    def test_in_interface(self):
        radio = gr.inputs.Radio(["a", "b", "c"])
        iface = gr.Interface(lambda x: 2 * x, radio, "textbox")
        self.assertEqual(iface.process(["c"])[0], ["cc"])
        radio = gr.inputs.Radio(["a", "b", "c"], type="index")
        iface = gr.Interface(lambda x: 2 * x, radio, "number")
        self.assertEqual(iface.process(["c"])[0], [4])


class TestDropdown(unittest.TestCase):
    def test_in_interface(self):
        dropdown = gr.inputs.Dropdown(["a", "b", "c"])
        iface = gr.Interface(lambda x: 2 * x, dropdown, "textbox")
        self.assertEqual(iface.process(["c"])[0], ["cc"])
        dropdown = gr.inputs.Dropdown(["a", "b", "c"], type="index")
        iface = gr.Interface(lambda x: 2 * x, dropdown, "number")
        self.assertEqual(iface.process(["c"])[0], [4])


class TestImage(unittest.TestCase):
    def test_as_component(self):
        x_img = gr.test_data.BASE64_IMAGE
        image_input = gr.inputs.Image()
        self.assertEqual(image_input.preprocess(x_img).shape, (68, 61 ,3))
        image_input = gr.inputs.Image(image_mode="L", shape=(25, 25))
        self.assertEqual(image_input.preprocess(x_img).shape, (25, 25))
        image_input = gr.inputs.Image(shape=(30, 10), type="pil")
        self.assertEqual(image_input.preprocess(x_img).size, (30, 10))


    def test_in_interface(self):
        x_img = gr.test_data.BASE64_IMAGE
        
        def open_and_rotate(img_file):
            img = PIL.Image.open(img_file)
            return img.rotate(90, expand=True)

        iface = gr.Interface(
            open_and_rotate, 
            gr.inputs.Image(shape=(30, 10), type="file"),
            "image")
        output = iface.process([x_img])[0][0]
        self.assertEqual(gr.processing_utils.decode_base64_to_image(output).size, (10, 30))
        

class TestAudio(unittest.TestCase):
    def test_as_component(self):
        x_wav = gr.test_data.BASE64_AUDIO
        audio_input = gr.inputs.Audio()
        output = audio_input.preprocess(x_wav)
        self.assertEqual(output[0], 8000)
        self.assertEqual(output[1].shape, (8046,))

    def test_in_interface(self):
        x_wav = gr.test_data.BASE64_AUDIO
        def max_amplitude_from_wav_file(wav_file):
            audio_segment = AudioSegment.from_file(wav_file.name)
            data = np.array(audio_segment.get_array_of_samples())
            return np.max(data)

        iface = gr.Interface(
            max_amplitude_from_wav_file, 
            gr.inputs.Audio(type="file"),
            "number")
        self.assertEqual(iface.process([x_wav])[0], [5239])

class TestFile(unittest.TestCase):
    def test_in_interface(self):
        x_file =  gr.test_data.BASE64_AUDIO
        def get_size_of_file(file_obj):
            return os.path.getsize(file_obj.name)

        iface = gr.Interface(
            get_size_of_file, "file", "number")
        self.assertEqual(iface.process([[x_file]])[0], [16362])


class TestDataframe(unittest.TestCase):
    def test_as_component(self):
        x_data = [["Tim",12,False],["Jan",24,True]]
        dataframe_input = gr.inputs.Dataframe(headers=["Name","Age","Member"])
        output = dataframe_input.preprocess(x_data)
        self.assertEqual(output["Age"][1], 24)
        self.assertEqual(output["Member"][0], False)

    def test_in_interface(self):
        x_data = [[1,2,3],[4,5,6]]
        iface = gr.Interface(np.max, "numpy", "number")
        self.assertEqual(iface.process([x_data])[0], [6])

        x_data = [["Tim"], ["Jon"], ["Sal"]]
        def get_last(l):
            return l[-1]
        iface = gr.Interface(get_last, "list", "text")
        self.assertEqual(iface.process([x_data])[0], ["Sal"])

class TestSequential(unittest.TestCase):
    def test_as_component(self):
        x_data = [["Tim",12,False],["Jan",24,True]]
        dataframe_input = gr.inputs.Dataframe(headers=["Name","Age","Member"])
        output = dataframe_input.preprocess(x_data)
        self.assertEqual(output["Age"][1], 24)
        self.assertEqual(output["Member"][0], False)

    def test_in_interface(self):
        x_data = [[1,2,3],[4,5,6]]
        iface = gr.Interface(np.max, "numpy", "number")
        self.assertEqual(iface.process([x_data])[0], [6])

        x_data = [["Tim"], ["Jon"], ["Sal"]]
        def get_last(l):
            return l[-1]
        iface = gr.Interface(get_last, "list", "text")
        self.assertEqual(iface.process([x_data])[0], ["Sal"])

class TestNames(unittest.TestCase):
    def test_no_duplicate_uncased_names(self):  # this ensures that get_input_instance() works correctly when instantiating from components
        subclasses = gr.inputs.InputComponent.__subclasses__()
        unique_subclasses_uncased = set([s.__name__.lower() for s in subclasses])
        self.assertEqual(len(subclasses), len(unique_subclasses_uncased))

if __name__ == '__main__':
    unittest.main()