Update app.py

app.py

@@ -1,14 +1,15 @@
 from icevision.all import *
-from fastai.vision.all import *
 import gradio as gr
 
-learn = load_learner('fasterRCNNKangaroo.pth')
+state_dict = roch.load('fasterRCNNKangaroo.pth')
+model.load_state_dict(state_dict)
 
 labels = learn.dls.vocab
 
 def predict(img):
    img = PILImage.create(img)
-   pred,pred_idx,probs = learn.predict(img)
-   return {labels[i]: float(probs[i]) for i in range(len(labels))}
+   infer_tfms = tfms.A.Adapter([*tfms.A.resize_and_pad(size),tfms.A.Normalize()])
+   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
    
 gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(128,128)), outputs=gr.outputs.Label(num_top_classes=3),examples=['00001.jpg','00002.jpg']).launch(share=False)