Update app.py

app.py

@@ -1,13 +1,14 @@
 from fastai.vision.all import *
 from icevision.all import *
 import gradio as gr
+import torch
 
 # Definimos una función que se encarga de llevar a cabo las predicciones
 def predict(img):
     class_map = ClassMap(['Kangaroo'])
     model = models.torchvision.faster_rcnn.model(backbone=models.torchvision.faster_rcnn.backbones.resnet18_fpn(pretrained=True), num_classes=len(class_map))
     # model = models.torchvision.faster_rcnn.model(backbone=models.torchvision.faster_rcnn.backbones.resnet18_fpn, num_classes=len(class_map))
-    state_dict = torch.load('model.pth')
+    state_dict = torch.load('model.pth', map_location=torch.device('cpu'))
     model.load_state_dict(state_dict)
     
     infer_tfms = tfms.A.Adapter([*tfms.A.resize_and_pad(384),tfms.A.Normalize()])