Update app.py

app.py

@@ -4,11 +4,7 @@ import gradio as gr
 classifier = pipeline('text-classification', model='lauragordo/clasificador-rotten-tomatoes')
 
 def text_classification(text):
-    result= classifier(text)
-    sentiment_label = result[0]['label']
-    sentiment_score = result[0]['score']
-    formatted_output = f"This sentiment is {sentiment_label} with the probability {sentiment_score*100:.2f}%"
-    return formatted_output
+    return classifier(text)[0]['label']
 
 examples=["This is wonderful movie!", "The movie was really bad; I didn't like it."]