Update app.py

app.py

@@ -1,6 +1,7 @@
 from transformers import T5Tokenizer, T5Model, T5ForConditionalGeneration, pipeline
 import nltk.data
 import pandas as pd
+import matplotlib.pyplot as plt
 
 nltk.download('punkt')
 
@@ -58,7 +59,6 @@ def sentiment_df(text):
     df = pd.DataFrame(columns=['Text', 'Label', 'Score'])
     text_list = sentence_tokenizer.tokenize(text)
     result = [sentiment_analysis(text) for text in text_list]
-    sentence = []
     labels = []
     scores = []
     for pred in result: