Prepare for the presentation, add info

cognitive_architecture/modules/cognify/llm/classify_content.py

@@ -1,10 +1,11 @@
+""" This module contains the code to classify content into categories using the LLM API. """
 from pydantic import BaseModel
 from typing import Type
 from cognitive_architecture.infrastructure.llm.get_llm_client import get_llm_client
 from cognitive_architecture.shared.data_models import ContentPrediction
-from utils import read_query_prompt
+from cognitive_architecture.utils import read_query_prompt
 
-async def classify_into_categories(text_input: str,system_prompt_path:str, response_model: Type[BaseModel]):
+async def classify_into_categories(text_input: str, system_prompt_path:str, response_model: Type[BaseModel]):
     llm_client = get_llm_client()
 
     system_prompt = await read_query_prompt(system_prompt_path)

cognitive_architecture/modules/cognify/llm/content_to_cog_layers.py

@@ -1,3 +1,4 @@
+""" This module contains the code to classify content into categories using the LLM API. """
 from typing import Type
 from pydantic import BaseModel
 from cognitive_architecture.infrastructure.llm.get_llm_client import get_llm_client

cognitive_architecture/modules/cognify/llm/content_to_propositions.py

@@ -1,4 +1,4 @@
-""" Content to Propositions"""
+""" This module is responsible for converting content to cognitive layers. """
 from typing import Type
 from pydantic import BaseModel
 from cognitive_architecture.infrastructure.llm.get_llm_client import get_llm_client