Update app.py

app.py

@@ -5,14 +5,14 @@ import gradio as gr
 from PIL import Image
 from pytorch_grad_cam import GradCAM
 from pytorch_grad_cam.utils.image import show_cam_on_image
-import custom_resnet
 from utils import nn
 import gradio as gr
 
-#loss_criterion = nn.CrossEntropyLoss() #F.cross_entropy
-#lr = 0.1
-#model = custom_resnet.getModel(loss_criterion, lr)
-#model.load_state_dict(torch.load("saved_model.pth", map_location=torch.device('cpu')), strict=False)
+from model import YOLOv3
+import config
+
+model = YOLOv3(num_classes=config.NUM_CLASSES)
+model.load_state_dict(torch.load("checkpoint.pth.tar", map_location=torch.device('cpu')), strict=False)
 
 inv_normalize = transforms.Normalize(
     mean=[-0.50/0.23, -0.50/0.23, -0.50/0.23],