Add a Pip-based CI testing for inference code, with Colab dependencies. #28

	name: CI_colab_no_jaxtrain

	on:
	push:
	branches: [ main ]
	pull_request:
	branches: [ main ]
	# Allows to run this workflow manually from the Actions tab on GitHub.
	workflow_dispatch:

	jobs:
	test-ubuntu:
	name: "test on ${{ matrix.python-version }} on ${{ matrix.os }}"
	runs-on: "${{ matrix.os }}"
	strategy:
	matrix:
	python-version: ["3.10", "3.11"]
	os: [ubuntu-latest]
	steps:
	- uses: actions/checkout@v3
	- name: Set up Poetry
	run: \|
	pipx install poetry
	- name: Set up Python ${{ matrix.python-version }}
	uses: actions/setup-python@v4
	with:
	python-version: ${{ matrix.python-version }}
	cache: 'poetry'
	- name: Install Chirp and its dependencies via pip.
	run: \|
	sudo apt-get update
	sudo apt-get install libsndfile1 ffmpeg
	pip install absl-py
	pip install requests
	pip install tensorflow-cpu
	python3 .github/install_colab_deps.py
	pip install -r /tmp/colab_reqs.txt
	pip install git+https://github.com/google-research/perch.git
	- name: Test with unittest
	# TODO: Group together jaxtrain tests so they can be easily excluded.
	run: poetry run python -m unittest discover -s chirp/inference/tests -p "*test.py"

Provide feedback