The code in the notebook is not working
Hi,

I tried to apply the code in your notebook called (Online_ASR_Microphone_Demo.ipynb) [link](https://github.com/NVIDIA/NeMo/blob/main/tutorials/asr/Online_ASR_Microphone_Demo.ipynb)

it works fine when using the same model in the notebook ('QuartzNet15x5Base-En')
using this code : 
`asr_model = nemo_asr.models.EncDecCTCModel.from_pretrained('QuartzNet15x5Base-En')`

when i replaced the model with another model called "Conformer-CTC-L_spe128_ar-AR_3.0.nemo" which i downloaded from your website and i used it using this code:
`asr_model = nemo_asr.models.ASRModel.restore_from(restore_path="Conformer-CTC-L_spe128_ar-AR_3.0.nemo")`

the cell called (Streaming Inference)  keep showing errors
 cell:
```
# duration of signal frame, seconds
FRAME_LEN = 1.0
# number of audio channels (expect mono signal)
CHANNELS = 1

CHUNK_SIZE = int(FRAME_LEN*SAMPLE_RATE)
asr = FrameASR(model_definition = {
                   'sample_rate': SAMPLE_RATE,
                   'AudioToMelSpectrogramPreprocessor': cfg.preprocessor,
                   'JasperEncoder': cfg.encoder,
                   'labels': cfg.decoder.vocabulary
               },
               frame_len=FRAME_LEN, frame_overlap=2, 
               offset=4)

```
error:
```
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
Cell In[84], line 7
      4 CHANNELS = 1
      6 CHUNK_SIZE = int(FRAME_LEN*SAMPLE_RATE)
----> 7 asr = FrameASR(model_definition = {
      8                    'sample_rate': SAMPLE_RATE,
      9                    'AudioToMelSpectrogramPreprocessor': cfg.preprocessor,
     10                    'JasperEncoder': cfg.encoder,
     11 
     12                     #'JasperEncoder': cfg.encoder.jasper,
     13                    'labels': cfg.decoder.vocabulary
     14                },
     15                frame_len=FRAME_LEN, frame_overlap=2, 
     16                offset=4)

Cell In[79], line 27, in FrameASR.__init__(self, model_definition, frame_len, frame_overlap, offset)
     25 #for block in model_definition['JasperEncoder']['jasper']:
     26 for block in model_definition:
---> 27     timestep_duration *= block['stride'][0] ** block['repeat']
     28 self.n_timesteps_overlap = int(frame_overlap / timestep_duration) - 2
     29 self.buffer = np.zeros(shape=2*self.n_frame_overlap + self.n_frame_len,
     30                        dtype=np.float32)

TypeError: string indices must be integers

```
please hep me to solve this issue
Thanks.