try out prov #3

	name: Train and Inference with SLSA

	on:
	push:
	branches:
	- main

	jobs:
	train:
	runs-on: ubuntu-latest

	steps:
	- name: Checkout repository
	uses: actions/checkout@v2

	- name: Set up Python
	uses: actions/setup-python@v2
	with:
	python-version: 3.11

	- name: Install dependencies
	run: \|
	python -m pip install --upgrade pip
	pip install -r requirements.txt

	- name: Generate Dataset
	run: \|
	python generate_dataset.py
	tar -czvf dataset.tgz dataset.npz

	- name: Train Model
	run: python train_model.py

	- name: Generate SLSA Attestation for Dataset
	run: \|
	checksum=$(sha256sum dataset.tgz \| cut -d ' ' -f 1)
	echo "Dataset checksum: $checksum"
	# Use the checksum to generate SLSA attestation

	- name: Generate SLSA Attestation for Model
	run: \|
	checksum=$(sha256sum model.pth \| cut -d ' ' -f 1)
	echo "Model checksum: $checksum"
	# Use the checksum to generate SLSA attestation

	provenance:
	if: ${{ github.event_name != 'pull_request' }}
	needs: [train]
	runs-on: ubuntu-latest
	permissions:
	actions: read
	id-token: write
	contents: write
	steps:
	- name: Get outputs
	id: hash
	run: echo "::set-output name=hash::$(echo 'hash-'$(sha256sum dataset.tgz \| cut -d ' ' -f 1) 'hash-'$(sha256sum model.pth \| cut -d ' ' -f 1))"

	- name: Run SLSA generator
	uses: slsa-framework/slsa-github-generator/.github/workflows/[email protected]
	with:
	base64-subjects: ${{ steps.hash.outputs.hash }}
	upload-assets: true

Provide feedback