initilized envars from ini to .env

app.py

@@ -14,21 +14,18 @@ from innovation_pathfinder_ai.utils.utils import (
 from langchain_community.vectorstores import Chroma
 
 import chromadb
-from configparser import ConfigParser
 import dotenv
 import os
 
 dotenv.load_dotenv()
-config = ConfigParser()
-config.read('innovation_pathfinder_ai/config.ini')
-persist_directory = config.get('main', 'VECTOR_DATABASE_LOCATION')
+persist_directory = os.getenv('VECTOR_DATABASE_LOCATION')
 
 logger = logger.get_console_logger("app")
 
 app = FastAPI()
 
 def initialize_chroma_db() -> Chroma:
-    collection_name = config.get('main', 'CONVERSATION_COLLECTION_NAME')
+    collection_name = os.getenv('CONVERSATION_COLLECTION_NAME')
     
     client = chromadb.PersistentClient(
         path=persist_directory

innovation_pathfinder_ai/structured_tools/structured_tools.py

@@ -32,12 +32,9 @@ from innovation_pathfinder_ai.utils.utils import (
     create_wikipedia_urls_from_text, create_folder_if_not_exists,
 )
 import os
-from configparser import ConfigParser
 # from innovation_pathfinder_ai.utils import create_wikipedia_urls_from_text
 
-config = ConfigParser()
-config.read('innovation_pathfinder_ai/config.ini')
-persist_directory = config.get('main', 'VECTOR_DATABASE_LOCATION')
+persist_directory = os.getenv('VECTOR_DATABASE_LOCATION')
 
 @tool
 def memory_search(query:str) -> str:
@@ -48,7 +45,7 @@ def memory_search(query:str) -> str:
      path=persist_directory,
     )
     
-    collection_name = config.get('main', 'CONVERSATION_COLLECTION_NAME')
+    collection_name = os.getenv('CONVERSATION_COLLECTION_NAME')
     #store using envar
     
     embedding_function = SentenceTransformerEmbeddings(

innovation_pathfinder_ai/vector_store/chroma_vector_store.py

@@ -23,14 +23,11 @@ from langchain_community.embeddings.sentence_transformer import (
 from innovation_pathfinder_ai.utils.utils import (
     generate_uuid    
 )
-from configparser import ConfigParser
 import dotenv
 import os
 
 dotenv.load_dotenv()
-config = ConfigParser()
-config.read('innovation_pathfinder_ai/config.ini')
-persist_directory = config.get('main', 'VECTOR_DATABASE_LOCATION')
+persist_directory = os.getenv('VECTOR_DATABASE_LOCATION')
 
 
 def read_markdown_file(file_path: str) -> str: