84 lines
3.8 KiB
Python
84 lines
3.8 KiB
Python
import unittest
|
|
import pathlib
|
|
from examples.whisper import (
|
|
init_whisper,
|
|
load_file_waveform,
|
|
transcribe_file,
|
|
transcribe_waveform,
|
|
)
|
|
from tinygrad.helpers import CI, fetch
|
|
from tinygrad import Device
|
|
|
|
# Audio generated with the command on MacOS:
|
|
# say "Could you please let me out of the box?" --file-format=WAVE --data-format=LEUI8@16000 -o test
|
|
# We use the WAVE type because it's easier to decode in CI test environments
|
|
TEST_FILE_1 = str(pathlib.Path(__file__).parent / "whisper/test.wav")
|
|
TRANSCRIPTION_1 = "Could you please let me out of the box?"
|
|
TEST_FILE_2 = str(pathlib.Path(__file__).parent / "whisper/test2.wav")
|
|
TRANSCRIPTION_2 = "a slightly longer audio file so that we can test batch transcriptions of varying length."
|
|
# TODO this file will possibly not survive long. find another 1-2 minute sound file online to transcribe
|
|
TEST_FILE_3_URL = "https://homepage.ntu.edu.tw/~karchung/miniconversations/mc45.mp3"
|
|
TRANSCRIPTION_3 = "Just lie back and relax. Is the level of pressure about right? Yes, it's fine, and I'd like conditioner please. Sure. I'm going to start the second lathering now. Would you like some Q-tips? How'd you like it cut? I'd like my bangs and the back trimmed, and I'd like the rest thinned out a bit and layered. Where would you like the part? On the left, right about here. Here, have a look. What do you think? It's fine. Here's a thousand anti-dollars. It's 30-ant extra for the rants. Here's your change and receipt. Thank you, and please come again. So how do you like it? It could have been worse, but you'll notice that I didn't ask her for her card. Hmm, yeah. Maybe you can try that place over there next time."
|
|
|
|
|
|
@unittest.skipIf(
|
|
CI and Device.DEFAULT in ["LLVM", "CLANG", "CPU", "GPU"],
|
|
"Not working on LLVM, slow on others. GPU reequires cl_khr_fp16",
|
|
)
|
|
class TestWhisper(unittest.TestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
model, enc = init_whisper("tiny.en", batch_size=2)
|
|
cls.model = model
|
|
cls.enc = enc
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
del cls.model
|
|
del cls.enc
|
|
|
|
def test_transcribe_file1(self):
|
|
self.assertEqual(
|
|
transcribe_file(self.model, self.enc, TEST_FILE_1), TRANSCRIPTION_1
|
|
)
|
|
|
|
@unittest.skipIf(CI, "too many tests for CI")
|
|
def test_transcribe_file2(self):
|
|
self.assertEqual(
|
|
transcribe_file(self.model, self.enc, TEST_FILE_2), TRANSCRIPTION_2
|
|
)
|
|
|
|
@unittest.skipIf(CI, "too many tests for CI")
|
|
def test_transcribe_batch12(self):
|
|
waveforms = [load_file_waveform(TEST_FILE_1), load_file_waveform(TEST_FILE_2)]
|
|
transcriptions = transcribe_waveform(self.model, self.enc, waveforms)
|
|
self.assertEqual(2, len(transcriptions))
|
|
self.assertEqual(TRANSCRIPTION_1, transcriptions[0])
|
|
self.assertEqual(TRANSCRIPTION_2, transcriptions[1])
|
|
|
|
def test_transcribe_batch21(self):
|
|
waveforms = [load_file_waveform(TEST_FILE_2), load_file_waveform(TEST_FILE_1)]
|
|
transcriptions = transcribe_waveform(self.model, self.enc, waveforms)
|
|
self.assertEqual(2, len(transcriptions))
|
|
self.assertEqual(TRANSCRIPTION_2, transcriptions[0])
|
|
self.assertEqual(TRANSCRIPTION_1, transcriptions[1])
|
|
|
|
@unittest.skipIf(CI, "too long for CI")
|
|
def test_transcribe_long(self):
|
|
waveform = [load_file_waveform(fetch(TEST_FILE_3_URL))]
|
|
transcription = transcribe_waveform(self.model, self.enc, waveform)
|
|
self.assertEqual(TRANSCRIPTION_3, transcription)
|
|
|
|
@unittest.skipIf(CI, "too long for CI")
|
|
def test_transcribe_long_no_batch(self):
|
|
waveforms = [
|
|
load_file_waveform(fetch(TEST_FILE_3_URL)),
|
|
load_file_waveform(TEST_FILE_1),
|
|
]
|
|
with self.assertRaises(Exception):
|
|
transcribe_waveform(self.model, self.enc, waveforms)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|