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import torch
import soundfile as sf
from .config import pipe_tts
from io import BytesIO
SAMPLING_RATE = 16000
class T2A:
def __init__(self, input_text: str):
self.output_model = pipe_tts(input_text)
def get_audio(self):
if self.inputs is not None:
synth = self.output_model["audio"][0]
print(f"synth : {synth}")
with BytesIO() as buffer:
sf.write(buffer, synth, SAMPLING_RATE, format='wav')
output = buffer.getvalue() # bytes
print(f"output : {output}, type : {type(output)}")
return output
else:
raise Exception("Input text is None. Please provide text") |