fixed format of topic keywords output

app.py

@@ -313,7 +313,7 @@ def dataframeProcessing(dataset):
 
     for topic in lda_topics:
         print(topic)
-        lda_topics_string += str(topic[0]) + ' ' + str(topic[1]) + '\n'
+        lda_topics_string += 'Topic ' + str(topic[0]) + '\n' + str(topic[1]) + '\n\n'
         topics.append(preprocess_string(topic[1], filters))
 
     df['topic'] = [sorted(lda_model_final[corpus][text][0]) for text in range(len(df['original_tweets']))]
@@ -341,7 +341,7 @@ def dataframeProcessing(dataset):
     
     output_df = df[['original_tweets', 'max_topic']].copy()
     
-    return output_df, lda_topics_string
+    return lda_topics_string, output_df
 
 def greet(name):
     return "Hello " + name + "!!"
@@ -352,6 +352,6 @@ iface = gr.Interface(fn=dataframeProcessing,
                                         "bgc-december", 
                                         "bonifacio global city-december"],
                                         label="Dataset"), 
-                     outputs=[gr.Dataframe(headers=['original_tweets', 'max_topic']),
-                              "text"])
+                     outputs=["text",
+                              gr.Dataframe(headers=['original_tweets', 'max_topic'])])
 iface.launch()