Update main.py

main.py

@@ -178,8 +178,8 @@ async def your_continuous_function(page: int,paginate: int,Tenant: str):
 @app.get("/get_latest_model_updated_time")
 async def model_updated_time():
     try:
-        m_time_encoder = os.path.getmtime('encoders.joblib')
-        m_time_model = os.path.getmtime('xgb_model.joblib')
+        m_time_encoder = os.path.getmtime('model/curfox_encoders.joblib')
+        m_time_model = os.path.getmtime('model/curfox_xgb_model.joblib')
         return {"base model created time ":datetime.datetime.fromtimestamp(m_time_encoder),
                 "last model updated time":datetime.datetime.fromtimestamp(m_time_model)}
     except:
@@ -204,8 +204,8 @@ def predict(customer_name: str,
 
     try:
         # Load your trained model and encoders
-        xgb_model = load('xgb_model.joblib')
-        encoders = load('encoders.joblib')
+        xgb_model = load('model/curfox_xgb_model.joblib')
+        encoders = load('model/curfox_encoders.joblib')
     except:
         return {"no model found so first trained the model using data fecther"}