TextSummarizer/main.py at main · namansinghal111/TextSummarizer · GitHub

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from src.textSummarizer.logging import logger
from src.textSummarizer.pipeline.stage_1_data_ingestion_pipeline import DataIngestionTrainingPipeline

from src.textSummarizer.pipeline.stage_2_data_transformation_pipeline import DataTransformationTrainingPipeline


from src.textSummarizer.pipeline.stage_3_model_trainer_pipeline import ModelTrainingPipeline

from TextSummarizer.src.textSummarizer.pipeline.stage_4_model_evaluation_pipeline import ModelEvaluationPipeline

STAGE_NAME="Data Ingestion stage"

try:
        logger.info(f"stage {STAGE_NAME} initiated")
        data_ingestion_pipeline=DataIngestionTrainingPipeline()
        data_ingestion_pipeline.initiate_data_ingestion()
        logger.info(f"stage {STAGE_NAME} Completed")
except Exception as e:
        logger.exception(e)
        raise e

STAGE_NAME="Data Transformation stage"

try:
        logger.info(f"stage {STAGE_NAME} initiated")
        data_transformation_pipeline=DataTransformationTrainingPipeline()
        data_transformation_pipeline.initiate_data_transformation()
        logger.info(f"stage {STAGE_NAME} Completed")
except Exception as e:
        logger.exception(e)
        raise e

STAGE_NAME="Model Trainer stage"

try:
        logger.info(f"stage {STAGE_NAME} initiated")
        model_trainer_pipeline=ModelTrainingPipeline()
        model_trainer_pipeline.initiate_model_trainer()
        logger.info(f"stage {STAGE_NAME} Completed")
except Exception as e:
        logger.exception(e)
        raise e


STAGE_NAME="Evaluation stage"

try:
        logger.info(f"stage {STAGE_NAME} initiated")
        model_evaluation_pipeline=ModelEvaluationPipeline()
        model_evaluation_pipeline.initiate_model_evaluation()
        logger.info(f"stage {STAGE_NAME} Completed")
except Exception as e:
        logger.exception(e)
        raise e