Update app.py

app.py

@@ -82,7 +82,9 @@ def nanogpt(start:str , max_new_tokens = 500, num_samples =2):
               output = decode(y[0].tolist())
   return output
 
-INTERFACE = gr.Interface(fn=nanogpt, inputs=[gr.Textbox(label= "Prompt", value= 'My mind is tossing on the ocean.'),gr.Slider(300,500, "number",value= 250, label= "Maximum number of tokens to be generated")] , outputs=gr.Text(label= "Generated Text"), title="NanoGPT",
+INTERFACE = gr.Interface(fn=nanogpt, inputs=[gr.Textbox(label= "Prompt", value= 'My mind is tossing on the ocean.'),
+                    gr.Slider(minimum = 300, maximum = 500, "number",value= 300,  label= "Maximum number of tokens to be generated")] ,
+                    outputs=gr.Text(label= "Generated Text"), title="NanoGPT",
                  description="NanoGPT is a transformer-based language model with only 10.65 million parameters, trained on a small dataset of Shakespeare work (size: 1MB only). It is trained with character level tokenization with a simple objective: predict the next char, given all of the previous chars within a text.",
                  examples = [['We know what we are, but know not what we may be',300],
                 ['Sweet are the uses of adversity which, like the toad, ugly and venomous, wears yet a precious jewel in his head',300],]