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Running
| from huggingface_hub import HfApi | |
| import os | |
| api = HfApi(token=os.getenv("HF_TOKEN")) | |
| files = ["Breakdown_prediction/deployment/app.py", | |
| "Breakdown_prediction/model_building/data_register.py", | |
| "Breakdown_prediction/deployment/Dockerfile", | |
| "Breakdown_prediction/hosting/hosting.py", | |
| "Breakdown_prediction/model_building/prep.py", | |
| "Breakdown_prediction/deployment/requirements.txt", | |
| "Breakdown_prediction/model_building/train.py", | |
| "Breakdown_prediction/data/engine_data.csv", | |
| "Breakdown_prediction/python_env.yaml", | |
| "Breakdown_prediction/model_building/featureengineer.py", | |
| "Breakdown_prediction/model_building/outliercapper.py", | |
| "Breakdown_prediction/best_engine_PM_prediction_v1.joblib"] | |
| for f in files: | |
| api.upload_file( | |
| path_or_fileobj=f, | |
| path_in_repo=os.path.basename(f), | |
| repo_id="sudhirpgcmma02/Engine_PM", # the target repo | |
| repo_type="space", # dataset, model, or space | |
| ) | |