main.py

from src.cnnClassifier import logger
from src.cnnClassifier.pipeline.stage_01_data_ingestion import DataIngestionTrainingPipeline
from cnnClassifier.pipeline.stage_02_prepare_base_model import PrepareBaseModelTrainingPipeline

STAGE_NAME="Data Ingestion stage"

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


STAGE_NAME = "Prepare base model"
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")
except Exception as e:
        logger.exception(e)
        raise e