Update app.py

app.py

@@ -1,9 +1,9 @@
 import gradio as gr
 from icevision.all import *
 import PIL
-class_map = ClassMap(['apple','banana','orange'])
-model = models.torchvision.faster_rcnn.model(backbone=models.torchvision.faster_rcnn.backbones.resnet18_fpn(pretrained=True), num_classes=len(class_map))
-state_dict = torch.load('fasterRCNNFruits.pth')
+class_map = ClassMap(['ace', 'jack', 'king', 'nine', 'queen', 'ten'])
+model = models.torchvision.faster_rcnn.model(backbone=models.torchvision.faster_rcnn.backbones.resnet50_fpn(pretrained=True), num_classes=len(class_map))
+state_dict = torch.load('modelCards.pth')
 model.load_state_dict(state_dict)
 size = 384
 infer_tfms = tfms.A.Adapter([*tfms.A.resize_and_pad(size),tfms.A.Normalize()])
@@ -16,4 +16,4 @@ def predict(img):
   return pred_dict['img']
 
 # Creamos la interfaz y la lanzamos.
-gr.Interface(fn=predict, inputs=["image"], outputs=["image"], examples=['fruits/train/images/mixed_14.jpg','fruits/train/images/mixed_15.jpg']).launch(share=True,debug=True)
+gr.Interface(fn=predict, inputs=["image"], outputs=["image"], examples=['IMG_2383.JPG','IMG_2677.JPG']).launch(share=True,debug=True)