Update app.py

app.py

@@ -66,7 +66,7 @@ def ner(text):
 def sentiment_df(text):
     df = pd.DataFrame(columns=['Text', 'Eng', 'Label', 'Score'])
     text_list = sentence_tokenizer.tokenize(text)
-    eng_text = [translator.transalate(text, lang_src='id',lang_tgt='en') for text in text_list]
+    eng_text = [translator.translate(text, lang_src='id',lang_tgt='en') for text in text_list]
     result = [sentiment_analysis(text) for text in text_list]
     labels = []
     scores = []
@@ -82,7 +82,7 @@ def sentiment_df(text):
     
 def run(text):
     summ_ = summ_t5(text)
-    summ_translated = translator.transalate(summ_, lang_src='id',lang_tgt='en')
+    summ_translated = translator.translate(summ_, lang_src='id',lang_tgt='en')
     sent_ = sentiment_analysis(summ_translated )
     ner_ = ner(summ_)
     df_sentiment = sentiment_df(text)
@@ -105,14 +105,14 @@ if __name__ == "__main__":
                 
             with gr.Column():
                 summ_output = gr.Textbox(label="Article Summary")
-                ner_output = gr.HighlightedText(label="NER Summary")
-                sent_output = gr.Label(label="Sentiment Summary")
+                ner_output = gr.HighlightedText(label="NER of Summary")
+                sent_output = gr.Label(label="Sentiment of Summary")
                 
-            dataframe_component = gr.DataFrame(type="pandas",
-                                                label="Dataframe",
-                                                max_rows=(20,'fixed'),
-                                                overflow_row_behaviour='paginate',
-                                                wrap=True)
+        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, dataframe_component ])