Update app.py

app.py

@@ -8,7 +8,7 @@ learner = from_pretrained_fastai(repo_id)
 
 # Definimos una función que se encarga de llevar a cabo las predicciones
 def predict(img):
-    img = PIL.Image.open('mapaches/test/images/raccoon-190.jpg')
+    img = PIL.Image.open(img)
     infer_tfms = tfms.A.Adapter([*tfms.A.resize_and_pad(size),tfms.A.Normalize()])
     pred_dict  = models.ross.efficientdet.end2end_detect(img, infer_tfms, model.to("cpu"), class_map=class_map, detection_threshold=0.5)
     return pred_dict["img"]