updated app.py

app.py

@@ -1,7 +1,7 @@
 from flask import Flask,request,render_template
 import numpy as np
 import pandas as pd
-
+import logging
 from sklearn.preprocessing import StandardScaler
 from src.pipeline.predict_pipeline import CustomData,PredictPipeline
 
@@ -42,4 +42,5 @@ def predict_datapoint():
     
 
 if __name__=="__main__":
+    logging.basicConfig(level=logging.DEBUG)
     app.run(debug=True,port=7860,host="0.0.0.0")        

src/exception.py

@@ -1,5 +1,5 @@
 import sys
-from src.logger import logging
+import logging
 
 def error_message_detail(error,error_detail:sys):
     _,_,exc_tb=error_detail.exc_info()
@@ -24,4 +24,4 @@ if __name__=='__main__':
         a=1/0
     except Exception as e:
         logging.info('logging tarted')
-        raise CustomException(e,sys)
+        raise CustomException(e,sys)