Resubida de modelo limpio desde Drive tras clonar repo

.gitattributes

@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 modelo_v1.pkl filter=lfs diff=lfs merge=lfs -text
+modelo_limpio_v2.pkl filter=lfs diff=lfs merge=lfs -text

app.py

@@ -5,16 +5,14 @@ import __main__
 
 def get_x(i): return None
 def get_y(i): return None
-
 __main__.get_x = get_x
 __main__.get_y = get_y
 
 try:
-    # Intentamos cargar con el nuevo nombre
-    learn = load_learner('modelo_v1.pkl')
+    learn = load_learner('modelo_limpio_v2.pkl')
     labels = learn.dls.vocab
 except Exception as e:
-    print(f"Error crítico: {e}")
+    print(f"Error: {e}")
     raise e
 
 def predict(img):

modelo_limpio_v2.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f3420f1dd775047641539864f8d7af630ee65e450fcaac8ccbd2fa63dbb960df
+size 115046025