Using gradio.JSON()

... instead of "json" as return type, and returning list instead of dict. testing if this uses json.dumps instead of repr

app.py

@@ -23,7 +23,7 @@ def clf_text(txt: str):
     # d = dict(zip(res["labels"], res["scores"]))
     # output = [f"{lbl}:\t{score}" for lbl, score in items]
     # return "\n".join(output)
-    return dict(items)
+    return list(items)
 # classifier(sequence_to_classify, candidate_labels)
 #{'labels': ['travel', 'dancing', 'cooking'],
 # 'scores': [0.9938651323318481, 0.0032737774308770895, 0.002861034357920289],
@@ -37,6 +37,6 @@ gradio_interface = gradio.Interface(
   # fn = my_inference_function,
   fn = clf_text,
   inputs = "text",
-  outputs = "json"
+  outputs = gradio.JSON()
 )
 gradio_interface.launch()