Update app.py

app.py

@@ -16,7 +16,7 @@ def predict(img):
     #img = PILImage.create(img)
     infer_tfms = tfms.A.Adapter([*tfms.A.resize_and_pad(384),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['img']}
+    return pred_dict['img']
     
 # Creamos la interfaz y la lanzamos. 
 gr.Interface(fn=predict, inputs=gr.inputs.Image(type='filepath'), outputs=gr.outputs.Image(type='pil'), examples=['00001.jpg','00002.jpg']).launch(share=False)