venkat
venkat
@loretoparisi @mbebenita @jmvalin I have tried realtime in python using sound device library which is giving me 2.5 seconds delay. In this i am running rnnoise as subprocess from python...
Then how i can do live in javascript or python?
@amadupu I am also looking for same
I am also getting same error 
I am getting below error while running "python dump_rnn.py newweights9i.hdf5 rnn_data.c rnn_data.h" File "training/dump_rnn.py", line 88, in model = load_model(sys.argv[1], custom_objects={'msse': mean_squared_sqrt_error, 'mean_squared_sqrt_error': mean_squared_sqrt_error, 'my_crossentropy': mean_squared_sqrt_error, 'mycost': mean_squared_sqrt_error, 'WeightClip': foo})...
i have solved that error by just replacing **init** with **__init__** in @liuanping thank you for the code
@KrishnanParameswaran i replaced the **init** with init in following [image] 
Should i have to change code if I train data with different sampling rate like 44100hz or 16khz.
I have also tried converting to java script using emcc. I used below command **emcc .libs/librnnoise.so -o project.js** Is that correct?
I am trying to run the inference command as below python generate.py \ --load_8bit \ --base_model 'decapoda-research/llama-7b-hf' \ --lora_weights 'tloen/alpaca-lora-7b' But getting similar error as shown huggingface_hub.utils._errors.RepositoryNotFoundError: 401 Client Error....