Update app.py

app.py

@@ -25,7 +25,7 @@ Generation takes 15-20 seconds on average.
 You can share your experience by Flagging.
 Enjoy!
 
-NOTE: Examples some time can generate ERROR. When you ERROR on the screen just click SUBMIT. Model will generate text in 15-20 secs."""
+NOTE: Examples can sometimes  generate ERROR. When you see ERROR on the screen just click SUBMIT. Model will generate text in 15-20 secs."""
 article = """<p style='text-align: center'>On YouTube:</p>
             <p style='text-align: center'><a href='https://youtube.com/playlist?list=PLQflnv_s49v9d9w-L0S8XUXXdNks7vPBL' target='_blank'>How to Train a Hugging Face Causal Language Model from Scratch with a Custom Dataset and a Custom Tokenizer?</a></p> 
             <p style='text-align: center'><a href='https://youtube.com/playlist?list=PLQflnv_s49v8aajw6m9MRNbAAbL63flKD' target='_blank'>Hugging Face kütüphanesini kullanarak bir GPT2 Transformer Dil Modelini Kendi Veri Setimizle nasıl eğitip kullanabiliriz? (in Turkish)</a></p>
@@ -42,9 +42,9 @@ demo = gr.Interface(fn=generate_review,
                     examples=examples,
                     title=title,
                     description= description,
-                    article = article,
-                    allow_flagging="manual",
-                    flagging_options=["good","moderate", "non-sense", ]
+                    article = article
+                    #allow_flagging="manual",
+                    #flagging_options=["good","moderate", "non-sense", ]
                     #flagging_dir='./flags'
                     )
 demo.launch('share=True', 'enable_queue=True')