Spaces:
Runtime error
Runtime error
| from src.imagecolorization.pipeline.stage01_data_ingestion import DataIngestionPipeline | |
| from src.imagecolorization.pipeline.stage02_data_transformation import DataTransformationPipeline | |
| from src.imagecolorization.pipeline.stage_03_model_building import ModelBuildingPipeline | |
| from src.imagecolorization.pipeline.stage_04_model_trainer import ModelTrainerPipeline | |
| from src.imagecolorization.pipeline.stage_05_model_evaluation import ModelEvaluationPipeLine | |
| from src.imagecolorization.logging import logger | |
| STAGE_NAME = 'Data Ingestion Stage' | |
| try: | |
| logger.info(f">>>>>> stage {STAGE_NAME} started <<<<<<") | |
| data_ingestion = DataIngestionPipeline() | |
| data_ingestion.main() | |
| logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<\n\nx==========x") | |
| except Exception as e: | |
| logger.exception(e) | |
| raise e | |
| STAGE_NAME = 'Data Tranasformation Stage' | |
| try: | |
| logger.info(f">>>>>> stage {STAGE_NAME} started <<<<<<") | |
| data_transformation = DataTransformationPipeline() | |
| data_transformation.main() | |
| logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<\n\nx==========x") | |
| except Exception as e: | |
| logger.exception(e) | |
| raise e | |
| STAGE_NAME = 'Model Building Stage' | |
| try: | |
| logger.info(f">>>>>> stage {STAGE_NAME} started <<<<<<") | |
| model_building = ModelBuildingPipeline() | |
| model_building.main() | |
| logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<\n\nx==========x") | |
| except Exception as e: | |
| logger.exception(e) | |
| raise e | |
| STAGE_NAME = 'Model Training Stage' | |
| try: | |
| logger.info(f">>>>>> stage {STAGE_NAME} started <<<<<<") | |
| model_trianer = ModelTrainerPipeline() | |
| model_trianer.main() | |
| logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<\n\nx==========x") | |
| except Exception as e: | |
| logger.exception(e) | |
| raise e | |
| # STAGE_NAME = 'Model Evaluation Stage' | |
| # try: | |
| # logger.info(f">>>>>> stage {STAGE_NAME} started <<<<<<") | |
| # model_trianer = ModelEvaluationPipeLine() | |
| # model_trianer.main() | |
| # logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<\n\nx==========x") | |
| # except Exception as e: | |
| # logger.exception(e) | |
| # raise e | |