Update app.py

app.py

@@ -1,6 +1,8 @@
 from transformers import T5Tokenizer, T5Model, T5ForConditionalGeneration, pipeline
 import nltk.data
 
+nltk.download('punkt')
+
 
 import gradio as gr
 from gradio.mix import Parallel
@@ -74,7 +76,7 @@ def run(text):
     ner_all = ner(text)
     fig = plt.figure()
     df.groupby(["Label"])["Text"].count().plot.pie(autopct="%.1f%%", figsize=(6,6))
-    return summ_, sent_, ner_, fig, ner_all
+    return summ_, sent_, ner_, fig, ner_all, df
 
 if __name__ == "__main__":
     with gr.Blocks() as demo:
@@ -98,5 +100,11 @@ if __name__ == "__main__":
                 plot_component = gr.Plot(label="Pie Chart of Sentiments")
                 ner_all_output = gr.HighlightedText(label="NER Article")
                 
-        analyze_button.click(run, inputs=input_text, outputs=[summ_output, sent_output, ner_output, plot_component, ner_all_output])
+            dataframe_component = gr.DataFrame(type="pandas",
+                                                label="Dataframe",
+                                                max_rows=(20,'fixed'),
+                                                overflow_row_behaviour='paginate',
+                                                wrap=True)
+                
+        analyze_button.click(run, inputs=input_text, outputs=[summ_output, sent_output, ner_output, plot_component, ner_all_output, dataframe_component ])
     demo.launch()