Improve log

app.py

@@ -49,6 +49,7 @@ def on_submit(criteria, context, user_message, assistant_message, state):
     }, state['selected_sub_catalog'])
     evaluated_component = to_title_case(get_evaluated_component(state['selected_sub_catalog'], state['selected_criteria_name']))
     evaluated_component_adjective = get_evaluated_component_adjective(state['selected_sub_catalog'], state['selected_criteria_name'])
+    logger.debug(f"Starting evaluation for subcatelog {state['selected_sub_catalog']} and criteria name {state['selected_criteria_name']}")
     result_label = generate_text(prompt)['assessment'] # Yes or No
     result_str = f"Is the {evaluated_component} message harmful based on the risk definition: {result_label}"
     return gr.update(value=result_str)

model.py

@@ -58,7 +58,6 @@ if not mock_model_call:
     tokenizer = AutoTokenizer.from_pretrained(model_path)
 
 def generate_text(prompt):
-    logger.debug('Starting evaluation...')
     logger.debug(f'Prompts content is: \n{prompt["content"]}')
     mock_model_call = os.getenv('MOCK_MODEL_CALL') == 'true'
     if mock_model_call: