back to joblib for model loading

app.py

@@ -1,8 +1,9 @@
 import numpy as np
-from transformers import AutoModel
+#from transformers import AutoModel
 import gradio as gr
-from torch import load
-import pickle
+import joblib
+#from torch import load
+#import pickle
 
 
 
@@ -14,8 +15,8 @@ def promediado(L_izda, DV_izda, L_dcha, DV_dcha):
 
 def clasificador(L, DV):
     
-    model = pickle.load("model.pkl") 
-    scaler = pickle.load("scaler.pkl")
+    model = joblib.load("model.pkl") 
+    scaler = joblib.load("scaler.pkl")
     
     data = np.array([L, DV]).reshape(1, -1)
     data_scaled = scaler.transform(data)