AttributeError: 'NoneType' object has no attribute 'impl' - mozilla-deepspeech

Question

After running my program, I am getting a Output, but I also get this error message.
Exception ignored in: <function Model.__del__ at 0x7f02ba33b430>
Traceback (most recent call last):
File "/usr/local/lib/python3.8/dist-packages/deepspeech/__init__.py", line 43, in __del__
AttributeError: 'NoneType' object has no attribute 'impl'
Here is the code - Here I am trying to convert an wv audio file into text using deepspeech library.
from deepspeech import Model
import numpy as np
import os
import wave
import json
from IPython.display import Audio
from IPython.display import clear_output
model_file_path = 'deepspeech-0.8.2-models.pbmm'
lm_file_path = 'deepspeech-0.8.2-models.scorer'
beam_width = 100
lm_alpha = 0.93
lm_beta = 1.18
model = Model(model_file_path)
model.enableExternalScorer(lm_file_path)
model.setScorerAlphaBeta(lm_alpha, lm_beta)
model.setBeamWidth(beam_width)
def read_wav_file(filename):
with wave.open(filename, 'rb') as w:
rate = w.getframerate()
frames = w.getnframes()
buffer = w.readframes(frames)
return buffer, rate
def transcribe(audio_file):
buffer, rate = read_wav_file(audio_file)
data16 = np.frombuffer(buffer, dtype=np.int16)
return model.stt(data16)
print(transcribe('speech.wav'))

Answer 1

Importing IPython is causing the issue, try running your code without it and it should work.
from deepspeech import Model
import numpy as np
import os
import wave
import json
model_file_path = 'deepspeech-0.8.2-models.pbmm'
lm_file_path = 'deepspeech-0.8.2-models.scorer'
beam_width = 100
lm_alpha = 0.93
lm_beta = 1.18
model = Model(model_file_path)
model.enableExternalScorer(lm_file_path)
model.setScorerAlphaBeta(lm_alpha, lm_beta)
model.setBeamWidth(beam_width)
def read_wav_file(filename):
with wave.open(filename, 'rb') as w:
rate = w.getframerate()
frames = w.getnframes()
buffer = w.readframes(frames)
return buffer, rate
def transcribe(audio_file):
buffer, rate = read_wav_file(audio_file)
data16 = np.frombuffer(buffer, dtype=np.int16)
return model.stt(data16)
print(transcribe('speech.wav'))