Add workflow for quick Python runs #6

	name: Run Tests

	on:
	pull_request:
	branches:
	- main
	- develop
	workflow_dispatch:

	jobs:
	build-linux:
	runs-on: ubuntu-latest
	strategy:
	max-parallel: 5

	steps:
	- uses: actions/checkout@v3
	- name: Set up Python 3.10
	uses: actions/setup-python@v3
	with:
	python-version: '3.10'
	- name: Add conda to system path
	run: \|
	# $CONDA is an environment variable pointing to the root of the miniconda directory
	echo $CONDA/bin >> $GITHUB_PATH
	- name: Download data
	run: \|
	mkdir audio rttms trash
	wget --no-verbose --show-progress --continue -O audio/ES2002a.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.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.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.rttm https://raw.githubusercontent.com/pyannote/AMI-diarization-setup/main/only_words/rttms/train/ES2002b.rttm
	- name: Install package
	run: \|
	conda env update --file environment.yml --name base
	pip install -e .
	- name: Run stream
	run: \|
	diart.stream audio/ES2002a.wav --output trash --hf-token ${{ secrets.HUGGINGFACE }}
	- name: Run benchmark
	run: \|
	diart.benchmark audio --reference rttms --batch-size 4 --num-workers 2 --hf-token ${{ secrets.HUGGINGFACE }}

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