Spaces:

VashuTheGreat2
/

ML-Learner

Sleeping

ML-Learner / python_backend /src /Agents /pipelines /InterviewPerformance_pipeline.py

Upload folder using huggingface_hub

c01955c verified 7 months ago

969 Bytes

from exception import MyException
from src.Agents.utils.Abstract import Pipeline
from src.Agents.components.generate_interview_performance import InterviewPerformance
from src.Agents.entity.config_entity import InterviewPerformanceConfig
import logging
import sys
class InterviewPerformancePipeline(Pipeline):
    def __init__(self,):
        self.interview_performance=InterviewPerformance(
            interview_performance_config=InterviewPerformanceConfig
        )
        
        
    async def initiate(self,thread_id:str):
        try:
            logging.info("Entered in the initiate PerformancePipeline method")
            performance=await self.interview_performance.get_performance(thread_id=thread_id)
            logging.info("performance generated")
            logging.info("Exiting from PerformancePipeline method")
            return performance
        except Exception as e:
            raise MyException(e,sys)    

        

        
        



	from exception import MyException
	from src.Agents.utils.Abstract import Pipeline
	from src.Agents.components.generate_interview_performance import InterviewPerformance
	from src.Agents.entity.config_entity import InterviewPerformanceConfig
	import logging
	import sys
	class InterviewPerformancePipeline(Pipeline):
	def __init__(self,):
	self.interview_performance=InterviewPerformance(
	interview_performance_config=InterviewPerformanceConfig
	)


	async def initiate(self,thread_id:str):
	try:
	logging.info("Entered in the initiate PerformancePipeline method")
	performance=await self.interview_performance.get_performance(thread_id=thread_id)
	logging.info("performance generated")
	logging.info("Exiting from PerformancePipeline method")
	return performance
	except Exception as e:
	raise MyException(e,sys)