Update app.py

app.py

@@ -46,9 +46,8 @@ demo = gr.Interface(
         gr.Slider(minimum=50, maximum=500, value=200, step=50, label="Max Length (longer text = more completion)"),
     ],
     outputs=gr.Textbox(label="Generated Completion", lines=4),
-    title="LLaMA Text Completion",
-    description= """\
-# Llama 3.2 1B Finetuned With Evolution Learning Network (ELN)
+    title="Llama 3.2 1B Finetuned With Evolution Learning Network (ELN) Text Completion Demo",
+    description= """
 ---
 > This project implements an Evolution Learning Network (ELN) to fine-tune transformer-based models like LLaMA using a combination of Quantized Low-Rank Adaptation (QLoRA) and Genetic Algorithms (GA). The primary objective is to evolve a population of models across multiple generations to optimize for performance (fitness) and specialization, while maintaining diversity.
 ---