Use pickle to load

app.py

@@ -2,7 +2,7 @@ import numpy as np
 from transformers import AutoModel
 import gradio as gr
 from torch import load
-import sklearn
+import pickle
 
 
 
@@ -14,8 +14,8 @@ def promediado(L_izda, DV_izda, L_dcha, DV_dcha):
 
 def clasificador(L, DV):
     
-    model = load("model.pkl") 
-    scaler = load("scaler.pkl")
+    model = pickle.load("model.pkl") 
+    scaler = pickle.load("scaler.pkl")
     
     data = np.array([L, DV]).reshape(1, -1)
     data_scaled = scaler.transform(data)