Update app.py

app.py

@@ -2,9 +2,10 @@ from fastapi import FastAPI
 from pydantic import BaseModel
 from typing import Optional
 
-from llama_index.core import Document, ServiceContext
-from llama_index.llms.llama_cpp import LlamaCPP
+from llama_index.core.settings import Settings
+from llama_index.core import Document
 from llama_index.embeddings.huggingface import HuggingFaceEmbedding
+from llama_index.llms.llama_cpp import LlamaCPP
 from llama_index.core.node_parser import SemanticSplitterNodeParser
 
 app = FastAPI()
@@ -33,14 +34,25 @@ async def chunk_text(data: ChunkRequest):
     embed_model = HuggingFaceEmbedding(model_name="BAAI/bge-small-en-v1.5")
 
     # ✅ Configuration du service IA
-    service_context = ServiceContext.from_defaults(
-        llm=llm,
-        embed_model=embed_model
-    )
+    # service_context = ServiceContext.from_defaults(
+        # llm=llm,
+        # embed_model=embed_model
+    # )
+
+
+    # ✅ Nouvelle méthode recommandée : paramétrer Settings globalement
+    Settings.llm = llm
+    Settings.embed_model = embed_model
+
 
+    
     try:
         # ✅ Découpage sémantique intelligent
-        parser = SemanticSplitterNodeParser.from_defaults(service_context=service_context)
+        # parser = SemanticSplitterNodeParser.from_defaults(service_context=service_context)
+        
+        # ✅ Appel du parser sans service_context
+        
+        parser = SemanticSplitterNodeParser.from_defaults()
         nodes = parser.get_nodes_from_documents([Document(text=data.text)])
 
         return {