Update app.py

app.py

@@ -15,6 +15,7 @@ def predict(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']
 
+   
 # Creamos la interfaz y la lanzamos. 
-gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(128, 128)), outputs=gr.outputs.Image(),examples=['raccoon-110.jpg','raccoon-115.jpg','raccoon-29.jpg', 'raccoon-98.jpg']).launch(share=False)
- 
+gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(128, 128)), outputs=gr.outputs.Image(),examples=['raccoon-110.jpg','raccoon-115.jpg']).launch(share=False)
+