modified app

app.py

@@ -1,12 +1,9 @@
 import asyncio
-from minio import Minio
-from minio.error import S3Error
 from datetime import timedelta
 from agno.agent import Agent
 from agno.knowledge.pdf import PDFKnowledgeBase, PDFReader  
 from agno.vectordb.qdrant import Qdrant
 from agno.storage.redis import RedisStorage
-from agno.memory.v2.db.redis import RedisMemoryDb
 from agno.memory.v2.memory import Memory
 from agno.document.chunking.agentic import AgenticChunking
 from agno.models.openai import OpenAIChat
@@ -28,17 +25,7 @@ from dotenv import load_dotenv
 load_dotenv()
 
 
-""" 
-# Configuration MinIO
-client = Minio(
-    os.getenv("ENDPOINT"),
-    access_key=os.getenv("ACCESS_KEY"),
-    secret_key=os.getenv("SECRET_KEY"),
-    secure=False
-)
-
-bucket_name = "iachatbotbocs"
-"""  
+ 
 # Initialisation Qdrant
 vector_db = Qdrant(
     collection="directives_16J",
@@ -46,20 +33,6 @@ vector_db = Qdrant(
     api_key=os.getenv("QDRANT_API_KEY")
 )
 
-# Initialize Redis storage with default local connection
-storage = RedisStorage(
-    prefix="agno_test_directive",    # Prefix for Redis keys to namespace the sessions
-    host="localhost",      # Redis host address
-    port=6379,             # Redis port number
-)
-# Create memory storage
-memory_db = RedisMemoryDb(
-        prefix="agno_test_directive",
-        host="localhost",
-        port=6379,
-        )
-memory = Memory(db=memory_db)
-
            
 # Charger tous les PDF du dossier dans la base de connaissance
 knowledge_base = PDFKnowledgeBase(