Update app.py

app.py

@@ -1,7 +1,3 @@
-from transformers import pipeline
-import gradio as gr
-import random
-
 pipe = pipeline("text-classification", model="muhnatha/distilbert-base-uncased-game")
 
 question = {
@@ -17,15 +13,15 @@ task = random.choice(list(question.items()))
 def actor_game(text, emotion):
     pred_emotion = pipe(text)
     if pred_emotion[0]['label'] == emotion:
-        return "YOU WON"
+        return "YOU WON",emotion,pred_emotion[0]['label']
     else:
-        return "YOU LOSE"
+        return "YOU LOSE",emotion,pred_emotion[0]['label']
 
 iface = gr.Interface(
     fn=actor_game,
-    inputs=[gr.Textbox(label="Your dialog"), 
+    inputs=[gr.Textbox(label=task[1]), 
             gr.Textbox(task[0],visible=False)],
-    outputs=[gr.Textbox(label=task[1])],
+    outputs=[gr.Textbox(label="Result"),gr.Textbox(label="Expected"),gr.Textbox(label="your emotion")],
     title="Be an Actor",
     description="Type your dialog",
 )