fixed the Streamlit Cloud deployment crash by stabilizing the runtime… #20

	name: CardioSense AI Clinical Pipeline

	on:
	push:
	branches: [ main ]
	pull_request:
	branches: [ main ]

	jobs:
	lint:
	runs-on: ubuntu-latest
	steps:
	- uses: actions/checkout@v4
	- name: Set up Python 3.12
	uses: actions/setup-python@v5
	with:
	python-version: '3.12'
	- name: Install Linting dependencies
	run: \|
	pip install flake8
	- name: Lint with flake8
	# Stop build if there are Python syntax errors or undefined names
	run: \|
	flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics

	test:
	needs: lint
	runs-on: ubuntu-latest
	steps:
	- uses: actions/checkout@v4
	- name: Set up Python 3.12
	uses: actions/setup-python@v5
	with:
	python-version: '3.12'
	- name: Install Clinical stack
	run: \|
	python -m pip install --upgrade pip
	pip install -r requirements.txt
	- name: Clinical Validation (Pytest)
	run: \|
	export PYTHONPATH=$PYTHONPATH:.
	pytest tests/

	model-audit:
	needs: test
	runs-on: ubuntu-latest
	steps:
	- uses: actions/checkout@v4
	- name: Set up Python 3.12
	uses: actions/setup-python@v5
	with:
	python-version: '3.12'
	- name: Install dependencies
	run: \|
	pip install -r requirements.txt
	- name: Verify Model Ingest (Smoke Test)
	# Verifies main.py can run and produce preprocessor artifacts
	run: \|
	export PYTHONPATH=$PYTHONPATH:.
	python src/data/preprocessor.py # Verify preprocessor logic specifically

	docker-build:
	needs: test
	runs-on: ubuntu-latest
	steps:
	- uses: actions/checkout@v4
	- name: Build Clinical Docker Image
	run: \|
	docker build -t cardiosense-api:latest .

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