Update app.py

app.py

@@ -13,10 +13,11 @@ predictions_df = pd.DataFrame(dataset)
 predictions_df_url0 = predictions_df['Url'].iloc[0]
 predictions_df_url1 = predictions_df['Url'].iloc[1]
 predictions_df_url2 = predictions_df['Url'].iloc[2]
+predictions_df_urls = [[predictions_df_url0],[predictions_df_url1],[predictions_df_url2]]
 
 def article_selection(sentiment):
     if sentiment == "Positive":
-            return predictions_df_url0, predictions_df_url1, predictions_df_url2 #f"""The sentence you requested is Positive!"""
+            return predictions_df_urls #f"""The sentence you requested is Positive!"""
     elif sentiment == "Negative":
         return f"""The sentence you requested is Negative!""" 
     else:
@@ -27,7 +28,7 @@ def article_selection(sentiment):
 demo = gr.Interface(
     fn=article_selection,
     inputs = gr.Dropdown(["Positive","Negative","Neutral"], label="What type of news articles would you like recommended?"),
-    outputs = [gr.Textbox(label="Sentiment of News Articles")],
+    outputs = "Recommended News Articles",
 )