use gr.JSON to send array

app.py

@@ -37,15 +37,12 @@ def infer(prompt, samples, steps, scale, seed, width):
     )
     images = []
     safe_image = Image.open(r"unsafe.png")
-    contains_nfsw = []
     for i, image in enumerate(images_list["sample"]):
         if(images_list["nsfw_content_detected"][i]):
             images.append(safe_image)
-            contains_nfsw.append([True])
         else:
             images.append(image)
-            contains_nfsw.append([False])
-    return [images, contains_nfsw]
+    return [images, images_list["nsfw_content_detected"]]
     
 css = """
         .gradio-container {
@@ -276,7 +273,7 @@ with block:
                 step=1,
                 randomize=True,
             )
-        contains_nfsw = gr.Dataframe(type="numpy", datatype="bool", visible=False)
+        contains_nfsw = gr.JSON()
         width = gr.Number(value=128, visible=False)
         ex = gr.Examples(examples=examples, fn=infer, inputs=[text, samples, steps, scale, seed, width], outputs=[gallery, contains_nfsw], cache_examples=False)
         ex.dataset.headers = [""]