model-training #95

	name: model-training
	on:
	schedule:
	- cron: '0 9 * * 1' # Runs every Monday at 9:00 AM UTC
	workflow_dispatch:

	jobs:
	retrain-and-commit:
	runs-on: ubuntu-latest
	steps:
	- uses: actions/checkout@v3
	- uses: actions/setup-python@v4
	- uses: iterative/setup-cml@v1

	- name: Set up Python environment
	run: \|
	python -m venv venv
	source venv/bin/activate
	pip install --upgrade pip
	pip install -r Streamlit/requirements.txt

	- name: Train model
	run: \|
	source venv/bin/activate
	python Streamlit/train.py

	- name: Create report.md
	run: \|
	cat "Streamlit/Training Report/results.txt" > "Streamlit/Training Report/report.md"
	echo "![](residuals.png)" >> "Streamlit/Training Report/report.md"

	- name: Commit results and create CML Report
	env:
	GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
	run: \|
	git config --global user.name "github-actions[bot]"
	git config --global user.email "github-actions[bot]@users.noreply.github.com"
	git fetch origin main
	git checkout main
	git pull origin main
	git add "Streamlit/Training Report/results.txt"
	git add "Streamlit/Training Report/report.md"
	git add "Streamlit/Training Report/residuals.png"
	git add "Streamlit/light_weight_expected_strokes.pkl"
	git commit -m "Add model, results, and report"
	git push origin main

	source venv/bin/activate
	ls -al "Streamlit/Training Report" # Verify that the report file exists
	cml comment create "'Streamlit/Training Report/report.md'" --token ${{ secrets.GITHUB_TOKEN }}

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