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import time
import uuid
from logging import getLogger
import numpy as np
from funasr import AutoModel
import soundfile as sf
import config
logger = getLogger(__name__)
class FunASR:
def __init__(self, source_lange: str = 'en', warmup=True) -> None:
self.source_lange = source_lange
self.model = AutoModel(
model="paraformer-zh", vad_model="fsmn-vad", punc_model="ct-punc"
)
if warmup:
self.warmup()
def warmup(self, warmup_steps=1):
warmup_soundfile = f"{config.ASSERT_DIR}/jfk.flac"
for _ in range(warmup_steps):
self.model.generate(input=warmup_soundfile)
def transcribe(self, audio_buffer: bytes, language):
audio_frames = np.frombuffer(audio_buffer, dtype=np.float32)
sf.write(f'{config.ASSERT_DIR}/{time.time()}.wav', audio_frames, samplerate=16000)
try:
output = self.model.generate(input=audio_frames)
return output
except Exception as e:
logger.error(e)
return []
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