Trying to fix parameter issue.

app.py

@@ -1,5 +1,5 @@
 import gradio as gr
-
+import json
 from transformers import AutoTokenizer, pipeline
 from optimum.onnxruntime import ORTModelForSequenceClassification
 
@@ -18,12 +18,12 @@ classifier = pipeline(
 )
 
 def predict(param_0):
-    return classifier(param_0)
+    return json.dumps(classifier(param_0))
 
 demo = gr.Interface(
     fn = predict,
     inputs = 'text',
-    outputs = 'text',
+    outputs = gr.Textbox(label="JSON Output"),
 )
 
 # demo = gr.Interface.from_pipeline(classifier)

requirements.txt

@@ -2,3 +2,4 @@ torch==2.4.0
 huggingface_hub==0.26.0
 transformers==4.36
 optimum[exporters,onnxruntime]==1.21.3
+json5==0.9.25