Update app.py

app.py

@@ -2,10 +2,10 @@ import gradio as gr
 from transformers import pipeline
 
 classifier = pipeline("text-classification",model='bhadresh-savani/distilbert-base-uncased-emotion', return_all_scores=True)
-output = {}
 
 def detect_emotions(emotion_input):
   prediction = classifier(emotion_input,)
+  output = {}
   for emotion in prediction[0]:
     output[emotion["label"]] = emotion["score"]
   return output