Getting RuntimeError when attempting to run inference

[Jasper]

Hi team - can't wait to try this! I'm getting the following RuntimeError when trying to run inference with the pretrained model:

RuntimeError                              Traceback (most recent call last)
[<ipython-input-5-487bd8f6f6cf>](https://localhost:8080/#) in <module>
     29 
     30 # Infer pitch and periodicity
---> 31 pitch, periodicity = penn.from_audio(
     32     audio,
     33     penn.SAMPLE_RATE,

[/usr/local/lib/python3.8/dist-packages/torch/nn/modules/conv.py](https://localhost:8080/#) in _conv_forward(self, input, weight, bias)
    307                             weight, bias, self.stride,
    308                             _single(0), self.dilation, self.groups)
--> 309         return F.conv1d(input, weight, bias, self.stride,
    310                         self.padding, self.dilation, self.groups)
    311 

RuntimeError: Given groups=1, weight of size [256, 1, 32], expected input[2048, 2, 993] to have 1 channels, but got 2 channels instead

I'm getting this with both CPU and GPU inference, and having installed both via pip and having cloned from Github. Do you know what might be the problem?

[Xavier Riley]

It looks like it expects a mono file and you're providing stereo. Could you try converting it to mono to see if that works? This seems like a good place to include a warning.

[Max Morrison]

Moved to #7