Debug API key

Api/app/main.py

@@ -1,29 +1,20 @@
 import logging
 from contextlib import asynccontextmanager
 
-import uvicorn
-from fastapi import APIRouter, FastAPI
-from fastapi.middleware.cors import CORSMiddleware
-from fastapi.responses import FileResponse
-from fastapi.staticfiles import StaticFiles
-from transformers import AutoModel, AutoModelForMaskedLM, AutoTokenizer, pipeline
-
 from app.modules.clearVariables.routes.clearVariables_route import \
     router as clear_variables_routes
 from app.modules.documentHandeler.routes.document_handeler_route import \
     router as upload_file_routes
 from app.modules.querySearch.routes.querySearch_route import \
     router as query_search_routes
+from fastapi import APIRouter, FastAPI
+from fastapi.middleware.cors import CORSMiddleware
+from fastapi.responses import FileResponse
+from fastapi.staticfiles import StaticFiles
+from transformers import (AutoModel, AutoModelForMaskedLM, AutoTokenizer,
+                          pipeline)
 
 
-from dotenv import load_dotenv
-import os
-from app.service.api import baseURL
-
-load_dotenv()
-api_key = os.getenv("QDRANT_API_KEY")
-print("Api key: ", api_key)
-
 @asynccontextmanager
 async def lifespan(app: FastAPI):
     dense_model_name = "sentence-transformers/all-MiniLM-L6-v2"
@@ -37,7 +28,6 @@ async def lifespan(app: FastAPI):
     sparse_model = AutoModelForMaskedLM.from_pretrained(sparse_model_name)
 
     qa_pipeline = pipeline("question-answering", model=qa_model_name)
-    print("Api key: ", api_key)
 
     yield {
         "dense_tokenizer": dense_tokenizer,

Api/app/qdrant.py

@@ -1,13 +1,10 @@
 import os
 
-from dotenv import load_dotenv
-from qdrant_client import QdrantClient, models
-
 from app.service.api import baseURL
+from qdrant_client import QdrantClient, models
 
-load_dotenv()
+api_key = os.environ.get("QDRANT_API_KEY")
 
-api_key = os.getenv("QDRANT_API_KEY")
 
 class QdrantConnectionDb:
     client = None