Update app.py

app.py

@@ -22,25 +22,30 @@ from llm import get_groq_llm
 load_dotenv()
 
 # Load configuration from JSON file
-with open('config.json') as config_file:
-    config = json.load(config_file)
 
-with open("config2.json", "r") as file:
+with open("config.json", "r") as file:
     config2 = json.load(file)
 
-VECTORSTORE_DIRECTORY = config["vectorstore_directory"]
-CHUNK_SIZE = config["chunk_size"]
-CHUNK_OVERLAP = config["chunk_overlap"]
-EMBEDDING_MODEL_NAME = config["embedding_model"]
-LLM_MODEL_NAME = config["llm_model"]
-LLM_TEMPERATURE = config["llm_temperature"]
-HF_SPACE_NAME = config["hf_space_name"]
-DATA_DIR = config["data_dir"]
-
 GROQ_API_KEY = os.environ["GROQ_API_KEY"]
 HF_TOKEN = os.environ["HF_Token"]
 
 
+VECTORSTORE_DIRECTORY = config.get("vectorstore_directory")
+CHUNK_SIZE = config.get("chunking", "chunk_size")
+CHUNK_OVERLAP = config.get("chunking", "chunk_overlap")
+EMBEDDING_MODEL_NAME = config.get("embedding_model", "name")
+LLM_MODEL_NAME = config.get("llm_model", "name")
+LLM_MODEL_TEMPERATURE = config.get("llm_model", "temperature")
+GITLAB_API_URL = config.get("gitlab", "api_url")
+GITLAB_PROJECT_ID = config.get("gitlab", "project", "id")
+GITLAB_PROJECT_VERSION = config.get("gitlab", "project", "version")
+DATA_DIR = config.get("data_dir")
+HF_SPACE_NAME = config.get("hf_space_name")
+DOCS_FOLDER = config.get("usage", "docs", "folder")
+DOCS_FILE = config.get("usage", "docs", "file")
+KADI_APY_FOLDER = config.get("usage", "kadi_apy", "folder")
+KADI_APY_FILE = config.get("usage", "kadi_apy", "file"
+
 
 login(HF_TOKEN)
 api = HfApi()
@@ -166,7 +171,7 @@ def initialize():
     print(f"Total number of doc_chunks: {len(doc_chunks)}")
 
     vector_store = embed_documents_into_vectorstore(doc_chunks + code_chunks, EMBEDDING_MODEL_NAME, VECTORSTORE_DIRECTORY)
-    llm = get_groq_llm(LLM_MODEL_NAME, LLM_TEMPERATURE, GROQ_API_KEY)
+    llm = get_groq_llm(LLM_MODEL_NAME, LLM_MODEL_TEMPERATURE, GROQ_API_KEY)
 
     from langchain_community.document_loaders import TextLoader