Update app.py

app.py

@@ -1,6 +1,7 @@
 from transformers import pipeline
 
 import gradio as gr
+from gradio.mix import Parallel
 
 pretrained_sentiment = "w11wo/indonesian-roberta-base-sentiment-classifier"
 pretrained_ner = "cahya/bert-base-indonesian-NER"
@@ -31,12 +32,17 @@ def ner(text):
     output = ner_pipeline(text)
     return {"text": text, "entities": output}
 
-demo = gr.Interface(
-    fn=[sentiment_analysis, ner], 
+sentiment_demo = gr.Interface(
+    fn=sentiment_analysis, 
     inputs=gr.Textbox(placeholder="Enter a sentence here..."), 
-    outputs=["label", gr.HighlightedText()],
-    interpretation=["default"],
+    outputs="label",
+    interpretation="default",
     examples=[examples])
 
+ner_demo = gr.Interface(ner,
+    gr.Textbox(placeholder="Enter sentence here..."), 
+    gr.HighlightedText(),
+    examples=examples)
+
 if __name__ == "__main__":
-    demo.launch()
+    Parallel(sentiment_demo, ner_demo).launch()