Update app.py

app.py

@@ -15,9 +15,6 @@ MODEL = None
 DEVICE = config.device
 T = tokenizer.TweetTokenizer(preserve_handles=True, preserve_hashes=True, preserve_case=False, preserve_url=False)
 
-def get_sentiment(input_text):
-    result = sentiment(input_text)
-    return f"result: {result[0]['label']}", f"score: {result[0]['score']}"
 
 def preprocess(text):
     tokens = T.tokenize(text)
@@ -69,7 +66,7 @@ def sentence_prediction(sentence):
 interface = gr.Interface(
     fn=sentence_prediction,
     inputs='text',
-    outputs=['text', 'text'],
+    outputs=['text'],
     title='Sentiment Analysis',
     description='Get the positive/negative sentiment for the given input.'
 )