I am new a coding tourist struggling to fix a chabot project that worked well in the past. The project is built on Python 3.7.0. It began a Tensorflow 1.15 but has been upgraded to Tensorflow 2.9.1. . When running google text to speech (TTS) I get the following error that I can not figure out how to fix. Any help you can offer is appreciate :
Exception: synthesize_speech() takes from 1 to 2 positional arguments but 4 were given
# <https://cloud.google.com/text-to-speech/docs/quickstart-client-libraries>
# <https://cloud.google.com/text-to-speech/docs/basics>
import os
import config
import tempfile
#import simpleaudio as sa
os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = 'assets/google.json'
from google.cloud import texttospeech_v1
client = texttospeech_v1.TextToSpeechClient()
voice = texttospeech_v1.VoiceSelectionParams(
language_code='en-US',
name='en-US-Wavenet-C',
ssml_gender=texttospeech_v1.SsmlVoiceGender.FEMALE)
audio_config = texttospeech_v1.AudioConfig(
audio_encoding=texttospeech_v1.AudioEncoding.LINEAR16, # LINEAR16=wav; or MP3
**config.VOICE)
def say(text):
"""assumes ogg is the output format"""
synthesis_input = texttospeech_v1.SynthesisInput(text=text)
response = client.synthesize_speech(synthesis_input, voice, audio_config)
tmpfile = tempfile.NamedTemporaryFile(delete=False)
tmpfile.write(response.audio_content)
wave_obj = sa.WaveObject.from_wave_file(tmpfile.name)
audio = wave_obj.play()
while audio.is_playing():
continue
Instead of passing as positional arguments
response = client.synthesize_speech(synthesis_input, voice, audio_config)
pass as named arguments
response = client.synthesize_speech(
input=synthesis_input,
voice=voice,
audio_config=audio_config
)
the full signature of synthesize_speech
is (source)
def synthesize_speech(
self,
request: Union[cloud_tts.SynthesizeSpeechRequest, dict] = None,
*,
input: cloud_tts.SynthesisInput = None,
voice: cloud_tts.VoiceSelectionParams = None,
audio_config: cloud_tts.AudioConfig = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> cloud_tts.SynthesizeSpeechResponse: