Create app.py

app.py

@@ -0,0 +1,16 @@
+import gradio as gr
+from icevision.all import *
+
+class_map = ClassMap(['disk'])
+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('fasterRCNNDisc.pth')
+model.load_state_dict(state_dict)
+
+infer_tfms = tfms.A.Adapter([*tfms.A.resize_and_pad(384),tfms.A.Normalize()])
+
+def predict(img):
+  img = PILImage.create(img)
+  pred_dict  = models.torchvision.faster_rcnn.end2end_detect(img, infer_tfms, model.to("cpu"), class_map=class_map, detection_threshold=0.5)
+  return pred_dict['img']
+
+gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(128, 128)), outputs=gr.outputs.Image(),examples=['image.jpg']).launch(share=False)