Update app.py

app.py

@@ -170,9 +170,9 @@ def generate_shakespeare_outputs(prompt=None, max_new_tokens=2000):
   text_output = shakespeare_model.decode(shakespeare_model.generate(context, max_new_tokens=max_new_tokens)[0].tolist())
   return text_output
 
-title = "Nano GPT using Shakespeare Data"
+title = "GPT using Shakespeare Data"
 
-description1 = "Nano GPT trained on <a href='https://www.kaggle.com/datasets/mikeortman/wikipedia-sentences'>Shakespeare dataset</a>. It is trained on a very small amount of data to understand how GPT's are trained and built. The implementation can be found <a href='https://github.com/karpathy/nanoGPT'>here.</a>"
+description1 = "Nano GPT trained on <a href='https://www.kaggle.com/datasets/mikeortman/wikipedia-sentences'>Shakespeare dataset</a>. The implementation can be found <a href='https://github.com/karpathy/nanoGPT'>here.</a>"
 
 demo = gr.Interface(generate_shakespeare_outputs,
                     inputs=[gr.Textbox(label="Enter any prompt ", type="text", value="Once upon a time,"),