Update app.py

app.py

@@ -54,7 +54,7 @@ def ner(text):
     return {"text": text, "entities": output}
     
 def sentiment_df(text):
-    text_list = tokenizer.tokenize(text)
+    text_list = sentence_tokenizer.tokenize(text)
     result = [sentiment_analysis(text) for text in text_list]
     sentence = []
     labels = []
@@ -100,7 +100,7 @@ if __name__ == "__main__":
                 plot_component = gr.Plot(label="Pie Chart of Sentiments")
                 ner_all_output = gr.HighlightedText(label="NER Article")
                 
-            dataframe_component = gr.DataFrame(type="pandas",
+        dataframe_component = gr.DataFrame(type="pandas",
                                                 label="Dataframe",
                                                 max_rows=(20,'fixed'),
                                                 overflow_row_behaviour='paginate',