Diarisation with pyannote.audio

!pip install pyannote.audio==1.1

!wget http://www.bealoideasbeo.ie/bealoideas/httpdocs/fuaim/iomlan/teip/010T0013.mp3

!ffmpeg -i 010T0013.mp3 -acodec pcm_s16le -ac 1 -ar 16000 010T0013.wav

import pyannote.core

import torch
import pyannote.core
pipeline = torch.hub.load('pyannote/pyannote-audio', 'dia')
diarization = pipeline({'audio': '010T0013.wav'})

json = pyannote.core.json.dumps(diarization)

with open('010T0013.json', 'w') as f:  
  f.write(json)