Update app.py

app.py

@@ -11,8 +11,14 @@ labels = learn.dls.vocab
 
 # Definimos una función que se encarga de llevar a cabo las predicciones
 def predict(img):
-    img = PIL.Image.open('kangarooc.jpg')
+    class_map = ['Kangaroo']
+    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')
+    model.load_state_dict(state_dict)
+    
     infer_tfms = tfms.A.Adapter([*tfms.A.resize_and_pad(size),tfms.A.Normalize()])
+    
+    img = PIL.Image.open('kangarooc.jpg')
     pred_dict  = models.torchvision.faster_rcnn.end2end_detect(img, infer_tfms, learn.model.to("cpu"), class_map=class_map, detection_threshold=0.5)
     return pred_dict['img']