feat: add logger

src/pages/2_🌍_map.py

@@ -1,4 +1,7 @@
 import streamlit as st
+import logging 
+from datasets import disable_caching
+disable_caching()
 
 st.set_page_config(
     page_title="About",
@@ -10,10 +13,8 @@ from maps.obs_map import add_obs_map_header
 from maps.alps_map import present_alps_map
 from maps.obs_map import present_obs_map
 
-from datasets import disable_caching
-disable_caching()
-
 ############################################################
+g_logger = logging.getLogger(__name__)
 USE_BASIC_MAP = False
 DEV_SIDEBAR_LIB = True
 ############################################################

src/pages/4_🔥_classifiers.py

@@ -1,6 +1,7 @@
 import streamlit as st
 import os
 import pandas as pd
+import logging
 
 st.set_page_config(
     page_title="ML Models",
@@ -23,12 +24,6 @@ from hf_push_observations import push_all_observations
 from classifier.classifier_image import cetacean_just_classify, cetacean_show_results_and_review, cetacean_show_results, init_classifier_session_states
 from classifier.classifier_hotdog import hotdog_classify
 
-# setup for the ML model on huggingface (our wrapper)
-os.environ["PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION"] = "python"
-# one toggle for all the extra debug text
-if "MODE_DEV_STATEFUL" not in st.session_state:
-    st.session_state.MODE_DEV_STATEFUL = False
-
 ############################################################
 classifier_name = "Saving-Willy/cetacean-classifier"
 #classifier_revision = '0f9c15e2db4d64e7f622ade518854b488d8d35e6'
@@ -37,6 +32,16 @@ dataset_id = "Saving-Willy/temp_dataset"
 data_files = "data/train-00000-of-00001.parquet"
 ############################################################
 
+g_logger = logging.getLogger(__name__)
+# setup for the ML model on huggingface (our wrapper)
+os.environ["PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION"] = "python"
+# one toggle for all the extra debug text
+if "MODE_DEV_STATEFUL" not in st.session_state:
+    st.session_state.MODE_DEV_STATEFUL = False
+
+############################################################
+
+
  # Streamlit app
 tab_inference, tab_hotdogs= \
     st.tabs(["Cetecean classifier", "Hotdog classifier"])