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Add ONNX compatibility #40

Add ONNX compatibility

Add ONNX compatibility #40

Workflow file for this run

# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python
name: Quick Runs
on:
pull_request:
branches: [ "main", "develop" ]
jobs:
build:
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
python-version: ["3.8", "3.10"]
steps:
- uses: actions/checkout@v3
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v3
with:
python-version: ${{ matrix.python-version }}
- name: Download data
run: |
mkdir audio rttms trash
wget --no-verbose --show-progress --continue -O audio/ES2002a_long.wav http://groups.inf.ed.ac.uk/ami/AMICorpusMirror/amicorpus/ES2002a/audio/ES2002a.Mix-Headset.wav
wget --no-verbose --show-progress --continue -O audio/ES2002b_long.wav http://groups.inf.ed.ac.uk/ami/AMICorpusMirror/amicorpus/ES2002b/audio/ES2002b.Mix-Headset.wav
wget --no-verbose --show-progress --continue -O rttms/ES2002a_long.rttm https://raw.githubusercontent.com/pyannote/AMI-diarization-setup/main/only_words/rttms/train/ES2002a.rttm
wget --no-verbose --show-progress --continue -O rttms/ES2002b_long.rttm https://raw.githubusercontent.com/pyannote/AMI-diarization-setup/main/only_words/rttms/train/ES2002b.rttm
- name: Install apt dependencies
run: |
sudo add-apt-repository ppa:savoury1/ffmpeg4
sudo apt-get update
sudo apt-get -y install ffmpeg libportaudio2=19.6.0-1.1 sox
- name: Install pip dependencies
run: |
python -m pip install --upgrade pip
pip install .
- name: Crop audio and rttm
run: |
sox audio/ES2002a_long.wav audio/ES2002a.wav trim 00:40 00:30
sox audio/ES2002b_long.wav audio/ES2002b.wav trim 00:10 00:30
head -n 4 rttms/ES2002a_long.rttm > rttms/ES2002a.rttm
head -n 7 rttms/ES2002b_long.rttm > rttms/ES2002b.rttm
rm audio/ES2002a_long.wav
rm audio/ES2002b_long.wav
rm rttms/ES2002a_long.rttm
rm rttms/ES2002b_long.rttm
- name: Run stream
run: |
diart.stream audio/ES2002a.wav --output trash --no-plot --hf-token ${{ secrets.HUGGINGFACE }}
- name: Run benchmark
run: |
diart.benchmark audio --reference rttms --batch-size 4 --hf-token ${{ secrets.HUGGINGFACE }}
- name: Run tuning
run: |
diart.tune audio --reference rttms --batch-size 4 --num-iter 2 --output trash --hf-token ${{ secrets.HUGGINGFACE }}