what's going on

Author: chllein

.docker/Dockerfile

@@ -13,7 +13,7 @@ RUN apt-get update && \
 # Install requirements
 COPY requirements.txt /workspace/requirements.txt
 RUN pip install --no-cache-dir -r /workspace/requirements.txt
-RUN pip install torch==2.1.2 torchvision --index-url https://download.pytorch.org/whl/cpu
+RUN pip install torch==2.4.0 torchvision --index-url https://download.pytorch.org/whl/cpu
 
 
 RUN playwright install

src/justinsight/celery.py

@@ -23,11 +23,11 @@
     #     "args": (),
     # },
 
-    "check-BBCfeed-every-5-minutes": {
-        "task": "justinsight.tasks.bbcLogger_task",
-        "schedule": 5.0,
-        "args": (),
-    },
+    # "check-BBCfeed-every-5-minutes": {
+    #     "task": "justinsight.tasks.bbcLogger_task",
+    #     "schedule": 5.0,
+    #     "args": (),
+    # },
 
     # "check-CBSfeed-every-5-minutes": {
     #     "task": "justinsight.tasks.cbsLogger_task",

src/justinsight/tasks.py

@@ -90,6 +90,7 @@ def runNER_task(entry_id):
 @shared_task
 def ner_task(article_id):
     # Process article with NER results
+    print("In the NER task")
     core = NERCore()
     print("Actually trying to do NER!!!")
     core.process_article(article_id)

src/nlp/base_core.py

@@ -20,6 +20,7 @@ def load_pipeline(self):
         if self.task == "ner" and self.aggregation_strategy:
             return pipeline(self.task, model=self.model_name, aggregation_strategy=self.aggregation_strategy)
 
+        print(f"pipeline loading...")
         return pipeline(self.task, model=self.model_name)
 
     def process_article(self, article_id: str):

src/nlp/ner_core.py

@@ -4,6 +4,7 @@
 
 class NERCore(BaseCore):
     def __init__(self):
+        print("constructing NER Core instance")
         super().__init__(
             task="ner",
             model_name="dslim/bert-base-NER",