# Apache Software License 2.0 # # Copyright (c) ZenML GmbH 2023. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # import os from typing import Optional, List from huggingface_hub import create_branch, login, HfApi from zenml import step from zenml.client import Client from zenml.logger import get_logger # Initialize logger logger = get_logger(__name__) @step def deploy_to_huggingface( repo_name: str, ): """ This step deploy the model to huggingface. Args: repo_name: The name of the repo to create/use on huggingface. """ ### ADD YOUR OWN CODE HERE - THIS IS JUST AN EXAMPLE ### secret = Client().get_secret("huggingface_creds") assert secret, "No secret found with name 'huggingface_creds'. Please create one that includes your `username` and `token`." token = secret.secret_values["token"] api = HfApi(token=token) hf_repo = api.create_repo(repo_id=repo_name, repo_type="space", space_sdk="gradio", exist_ok=True) zenml_repo_root = Client().root if not zenml_repo_root: logger.warning( "You're running the `deploy_to_huggingface` step outside of a ZenML repo. " "Since the deployment step to huggingface is all about pushing the repo to huggingface, " "this step will not work outside of a ZenML repo where the gradio folder is present." ) raise space = api.upload_folder( folder_path=zenml_repo_root, repo_id=hf_repo.repo_id, repo_type="space", ) logger.info(f"Space created: {space}") ### YOUR CODE ENDS HERE ###