Upload app.py

app.py

@@ -0,0 +1,33 @@
+from transformers import pipeline
+import gradio as gr
+import random
+
+pipe = pipeline("text-classification", model="muhnatha/distilbert-base-uncased-game")
+
+question = {
+    "sadness": "Be a student who just had a bad grade",
+    "joy": "Be a football player who just won the world cup",
+    "love": "Be a teenager who has a crush but she can only talk to her friend",
+    "anger": "Be a student who angry because he was bullied",
+    "fear": "Be a grandpa who tries to run away because there is an alien in his farm",
+    "surprise": "Be a child who just got a birthday surprise"
+} 
+task = random.choice(list(question.items())) 
+
+def actor_game(text, emotion):
+    pred_emotion = pipe(text)
+    if pred_emotion[0]['label'] == emotion:
+        return "YOU WON"
+    else:
+        return "YOU LOSE"
+
+iface = gr.Interface(
+    fn=actor_game,
+    inputs=[gr.Textbox(label="Your dialog"), 
+            gr.Textbox(task[0],visible=False)],
+    outputs=[gr.Textbox(label=task[1])],
+    title="Be an Actor",
+    description="Type your dialog",
+)
+
+iface.launch()