Initialize logging in each script

src/evaluate.py

@@ -17,6 +17,7 @@ from shared import seconds_to_time
 from urllib.parse import quote
 import logging
 
+logging.basicConfig()
 logger = logging.getLogger(__name__)
 
 

src/predict.py

@@ -25,6 +25,7 @@ import preprocess
 from errors import PredictionException, TranscriptError, ModelLoadError, ClassifierLoadError
 from model import ModelArguments, get_classifier_vectorizer, get_model_tokenizer
 
+logging.basicConfig()
 logger = logging.getLogger(__name__)
 
 # Public innertube key (b64 encoded so that it is not incorrectly flagged)

src/preprocess.py

@@ -20,6 +20,7 @@ import time
 import requests
 
 
+logging.basicConfig()
 logger = logging.getLogger(__name__)
 
 

src/train.py

@@ -32,7 +32,7 @@ require_version('datasets>=1.8.0',
 
 os.environ['WANDB_DISABLED'] = 'true'
 
-
+logging.basicConfig()
 logger = logging.getLogger(__name__)
 
 # Setup logging

src/utils.py

@@ -1,6 +1,7 @@
 import re
 import logging
 
+logging.basicConfig()
 logger = logging.getLogger(__name__)