main.py

from CNNClassifier.pipeline.stage_01_data_ingestion import DataIngestionTrainingPipeline
from CNNClassifier.pipeline.stage_02_base_model import PrepareBaseModelTrainingPipeline
from CNNClassifier.pipeline.stage_03_training import ModelTrainingPipeline
from CNNClassifier.pipeline.stage_04_evaluation import EvaluationPipeline
from CNNClassifier import logger

STAGE_NAME = "Data Ingestion Stage"
try:
    logger.info(f">>>>> stage {STAGE_NAME} started <<<<<<")
    data_ingestion = DataIngestionTrainingPipeline()
    data_ingestion.main()
    logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<\n\nx==========x==========x==========x")
except Exception as e:
    logger.exception(e)
    raise e

STAGE_NAME = "Prepare Base Model Stage"
try:
    logger.info(f"***************************************")
    logger.info(f">>>>> stage {STAGE_NAME} started <<<<<<")
    prepare_base_model = PrepareBaseModelTrainingPipeline()
    prepare_base_model.main()
    logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<\n\nx==========x==========x==========x")
except Exception as e:
    logger.exception(e)
    raise e

STAGE_NAME = "Model Training Stage"
try:
    logger.info(f"***************************************")
    logger.info(f">>>>> stage {STAGE_NAME} started <<<<<<")
    model_trainer = ModelTrainingPipeline()
    model_trainer.main()
    logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<\n\nx==========x==========x==========x")
except Exception as e:
    logger.exception(e)
    raise e

STAGE_NAME = "Model Evaluation Stage"
try:
    logger.info(f"***************************************")
    logger.info(f">>>>> stage {STAGE_NAME} started <<<<<<")
    model_evaluation = EvaluationPipeline()
    model_evaluation.main()
    logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<\n\nx==========x==========x==========x")
except Exception as e:
    logger.exception(e)
    raise e