Update app.py

app.py

@@ -2,12 +2,10 @@ from fastapi import FastAPI
 from controllers import chat_controller, test_controller, admin_controller, health_controller
 from core import service_config, session_store, llm_models
 from llm_model import LLMModel
-from intent_utils import background_training
 from log import log
 import os
 import warnings
 
-# FutureWarning'leri sustur
 warnings.simplefilter(action='ignore', category=FutureWarning)
 
 app = FastAPI()
@@ -24,27 +22,7 @@ def load_project(project_name, config, project_path):
     model_instance = LLMModel()
     model_instance.setup(config, llm_config, project_path)
 
-    # Intent modeli path
-    intent_model_path = os.path.join(project_path, "intent", "trained_model")
-
-    # Eğer intent modeli klasörü yoksa → eğitim başlat
-    if not os.path.exists(intent_model_path) or not os.path.isfile(os.path.join(intent_model_path, "config.json")):
-        log(f"🛠 Intent modeli bulunamadı, eğitim başlatılıyor: {intent_model_path}")
-        intents = config.get_project_intents(project_name)
-        os.makedirs(intent_model_path, exist_ok=True)
-        background_training(
-            project_name,
-            intents,
-            llm_config["intent_model_id"],
-            intent_model_path,
-            llm_config["train_confidence_treshold"]
-        )
-
-    # Eğitim sonrası intent modelini yükle
-    if os.path.exists(intent_model_path) and os.path.isfile(os.path.join(intent_model_path, "config.json")):
-        model_instance.load_intent_model(intent_model_path)
-    else:
-        log(f"⚠️ Intent modeli yüklenemedi: {intent_model_path}, yükleme atlandı.")
+    # ❌ Intent modeli artık kullanılmıyor → bu blok kaldırıldı
 
     return model_instance
 
@@ -56,7 +34,6 @@ for project_name in service_config.projects:
     os.makedirs(project_path, exist_ok=True)
     os.makedirs(os.path.join(project_path, "llm", "base_model"), exist_ok=True)
     os.makedirs(os.path.join(project_path, "llm", "fine_tune"), exist_ok=True)
-    os.makedirs(os.path.join(project_path, "intent", "trained_model"), exist_ok=True)
 
     model_instance = load_project(project_name, service_config, project_path)
     llm_models[project_name] = model_instance