def test_post_http_error():
client = TextToSpeechClient("", "", "")
with mock.patch("spokestack.tts.clients.spokestack.requests") as patched:
patched.post.return_value = MockResponse(status_code=201)
with pytest.raises(Exception):
_ = client.synthesize("utterance")
def test_synthesize_invalid_mode():
client = TextToSpeechClient("", "", "")
test = np.ones(160).tobytes()
with mock.patch("spokestack.tts.clients.spokestack.requests") as patched:
patched.get.return_value = mock.Mock(content=test)
with pytest.raises(ValueError):
_ = client.synthesize("test utterance", mode="python")
def test_synthesize_url():
client = TextToSpeechClient("", "", "")
with mock.patch("spokestack.tts.clients.spokestack.requests") as patched:
mock_url = "https://test"
patched.post.return_value = MockResponse(
status_code=200,
return_value={"data": {"synthesizeText": {"url": mock_url}}},
)
response = client.synthesize_url("# test utterance", mode="text")
assert response == mock_url
def test_synthesize_markdown():
client = TextToSpeechClient("", "", "")
test = np.ones(160).tobytes()
with mock.patch("spokestack.tts.clients.spokestack.requests") as patched:
mock_iterable = mock.MagicMock(spec=Response().iter_content(),
return_value=test)
patched.post.return_value = MockResponse(status_code=200)
patched.get.return_value = mock.Mock(iter_content=mock_iterable,
status_code=200)
response = client.synthesize("# test utterance", mode="markdown")
assert response == test
def test_graphql():
client = TextToSpeechClient("", "", "")
voice = "voice"
profile = "test"
for mode in ["text", "ssml", "markdown"]:
method = f"synthesize{mode[0].upper()}{mode[1:]}"
body = client._build_body("test",
mode=mode,
voice=voice,
profile=profile)
assert f"{method}(" in body
assert profile.upper() in body
def test_error_response():
client = TextToSpeechClient("", "", "")
with mock.patch("spokestack.tts.clients.spokestack.requests") as patched:
patched.post.return_value = MockResponse(
status_code=200,
return_value={
"data": {"synthesizeSSML": None},
"errors": [
{
"locations": [{"column": 0, "line": 3}],
"message": "synthesis_failed",
"path": ["synthesizeSSML"],
}
],
},
)
with pytest.raises(TTSError):
_ = client.synthesize("utterance")
def main():
pipeline = SpeechPipeline(
PyAudioInput(frame_width=20,
sample_rate=16000,
exception_on_overflow=False),
[
VoiceActivityDetector(),
WakewordTrigger(pre_emphasis=0.97, model_dir="tflite"),
GoogleSpeechRecognizer(GOOGLE_CREDS),
ActivationTimeout(),
],
)
dialogue_manager = DialogueManager(
"tflite", "distilbert-base-cased-distilled-squad")
manager = TextToSpeechManager(
TextToSpeechClient(KEY_ID, KEY_SECRET),
PyAudioOutput(),
)
@pipeline.event
def on_activate(context):
print(context.is_active)
@pipeline.event
def on_recognize(context):
pipeline.pause()
answer = dialogue_manager(context.transcript)
manager.synthesize(answer, "text", "demo-male")
pipeline.resume()
@pipeline.event
def on_deactivate(context):
print(context.is_active)
manager.synthesize(dialogue_manager.greet(), "text", "demo-male")
pipeline.start()
pipeline.run()
def main():
pipeline = SpeechPipeline(
PyAudioInput(frame_width=20, sample_rate=16000, exception_on_overflow=False),
[
VoiceActivityDetector(),
WakewordTrigger(pre_emphasis=0.97, model_dir="tflite"),
CloudSpeechRecognizer(spokestack_id=KEY_ID, spokestack_secret=KEY_SECRET),
ActivationTimeout(),
],
)
nlu = TFLiteNLU("tflite")
dialogue_manager = DialogueManager()
manager = TextToSpeechManager(
TextToSpeechClient(KEY_ID, KEY_SECRET), PyAudioOutput(),
)
@pipeline.event
def on_activate(context):
print("active")
@pipeline.event
def on_recognize(context):
pipeline.pause()
results = nlu(context.transcript)
response = dialogue_manager(results)
if response:
manager.synthesize(response, "text", "demo-male")
pipeline.resume()
if results.intent == "AMAZON.StopIntent":
pipeline.stop()
manager.synthesize(Response.WELCOME.value, "text", "demo-male")
pipeline.start()
pipeline.run()
