Update app.py

app.py

@@ -26,27 +26,34 @@ def article_selection(sentiment):
         return f"""The sentence you requested is Neutral!""" 
 
 def thanks():
-    return "Thank you for making our model better!"
+    return f"""Thank you for making our model better!"""
 
-description =  '''
+description1 =  '''
         This application recommends news articles depending on the sentiment of the headline.
         Enter your preference of what type of news articles you would like recommended to you today: Positive, Negative, or Neutral.
         '''
 
+description2 =  '''
+        This application recommends news articles depending on the sentiment of the headline.
+        Enter a news article url and its sentiment to help us improve our model.
+        The more data we have, the better news articles we can recommend to you!
+        '''
+
 suggestion_demo = gr.Interface(
     fn=article_selection,
     title = 'Recommending News Articles',
     inputs = gr.Dropdown(["Positive","Negative","Neutral"], label="What type of news articles would you like recommended?"),
     outputs = gr.Textbox(label="Recommended News Articles", lines=3),
-    description = description,
-    examples=predictions_df_urls)
+    description = description1
+)
 
 manual_label_demo = gr.Interface(
     fn=thanks,
     title="Manually Label a News Article",
     inputs=[gr.Textbox(label = "Paste in URL of news article here."),
             gr.Dropdown(["Positive","Negative","Neutral"], label="Select the sentiment of the news article.")],
-    outputs = gr.Textbox()
+    outputs = gr.Textbox(),
+    description = description1
 )