Update app.py

app.py

@@ -23,10 +23,10 @@ title="Turkish Review Generator: A GPT2 based Text Generator Trained with a Cust
 description= """Generate a review in Turkish by providing a prompt. 
 Generation takes 15-20 seconds on average."""
 article = """<p style='text-align: center'>On YouTube:</p>
-            <p style='text-align: left'><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? (in English): </a></p> 
-            <p style='text-align: left'><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>
+            <p style='text-align: left'><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: left'><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>
             <p style='text-align: center'>On Medium:</p>
-            <p style='text-align: left'><a href='https://medium.com/deep-learning-with-keras/how-to-train-a-hugging-face-causal-language-model-from-scratch-8d08d038168f' target='_blank'>Hugging Face kütüphanesini kullanarak bir GPT2 Transformer Dil Modelini Kendi Veri Setimizle nasıl eğitip kullanabiliriz? (in Turkish): </a></p>"""                    
+            <p style='text-align: left'><a href='https://medium.com/deep-learning-with-keras/how-to-train-a-hugging-face-causal-language-model-from-scratch-8d08d038168f' target='_blank'>How to Train a Hugging Face Causal Language Model from Scratch with a Custom Dataset and a Custom Tokenizer?</a></p>"""                    
 examples=["Bir hafta önce aldığım cep telefonu",
           "Tatil için rezervasyon yaptırdım.",
           "Henüz alalı bir",