show obj

handler.py

@@ -8,6 +8,7 @@ from diffusers import StableDiffusionControlNetPipeline, ControlNetModel
 from transformers import AutoProcessor, SafetyChecker
 #from diffusers.pipelines.stable_diffusion import StableDiffusionSafetyChecker
 
+import pprint
 
 import torch
 
@@ -138,9 +139,7 @@ class EndpointHandler():
         safety_features = processor(image)
         safety_check_result = safety_checker(images=image, features=safety_features)
 
-        print(f'Ocurrió un error: {safety_check_result}')
-        print(f'Ocurrió un error: {safety_check_result["nsfw_content_detected"]')
-        
+        pprint(safety_check_result)
         
         # run inference pipeline
         out = self.pipe(