Update controllers/admin_controller.py

controllers/admin_controller.py

@@ -1,23 +1,24 @@
-from fastapi import APIRouter
-from core import service_config, llm_models
-from llm_model import LLMModel
-from fastapi.responses import JSONResponse
-from log import log
-
-router = APIRouter()
-
-@router.post("/reload_config")
-def reload_config():
-    try:
-        service_config.load(is_reload=True)
-        log("🔁 Config reload sonrası tüm projeler için modeller yeniden yükleniyor...")
-        for project_name in service_config.projects:
-            llm_config = service_config.get_project_llm_config(project_name)
-            model_instance = LLMModel()
-            model_instance.setup(service_config, llm_config)
-            llm_models[project_name] = model_instance
-            log(f"✅ '{project_name}' için model yüklendi.")
-        return {"status": "ok", "message": "Konfigürasyon ve modeller yeniden yüklendi."}
-    except Exception as e:
-        return JSONResponse(content={"error": str(e)}, status_code=500)
-
+from fastapi import APIRouter
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+from core import INTENT_MODELS
+import json, os
+
+router = APIRouter()
+
+@router.post("/load_intent_model")
+def load_intent_model(project_name: str, model_path: str):
+    try:
+        tokenizer = AutoTokenizer.from_pretrained(model_path)
+        model = AutoModelForSequenceClassification.from_pretrained(model_path)
+        with open(os.path.join(model_path, "label2id.json")) as f:
+            label2id = json.load(f)
+
+        INTENT_MODELS[project_name] = {
+            "model": model,
+            "tokenizer": tokenizer,
+            "label2id": label2id
+        }
+
+        return {"status": "ok", "message": f"'{project_name}' intent modeli yüklendi."}
+    except Exception as e:
+        return {"error": str(e)}