use joblib load instead of autotransformers

app.py

@@ -1,6 +1,10 @@
 import numpy as np
 from transformers import AutoModel
 import gradio as gr
+from joblib import load
+    
+
+
 
 
 def promediado(L_izda, DV_izda, L_dcha, DV_dcha):
@@ -10,8 +14,8 @@ def promediado(L_izda, DV_izda, L_dcha, DV_dcha):
 
 def clasificador(L, DV):
     
-    model = AutoModel.from_pretrained("hernanhgm/buitre_negro/model.pkl") 
-    scaler = AutoModel.from_pretrained("hernanhgm/buitre_negro/scaler.pkl")
+    model = load("model.pkl") 
+    scaler = load("scaler.pkl")
     
     data = np.array([L, DV]).reshape(1, -1)
     data_scaled = scaler.transform(data)