update default prompt

app.py

@@ -35,14 +35,14 @@ class Config:
     BLT_MAX_BYTES_FOR_DEMO: int = 512
 
     # Gradio
-    DEFAULT_PROMPT: str = "Daenerys Targaryen is in Game of Thrones, a fantasy epic by George R.R. Martin. Daenerys Targaryen is in Game of Thrones, a fantasy epic by George R.R. Martin."
+    DEFAULT_PROMPT: str = "I have potato blood in my veins. My life is potato. In your working life and in your living, it's always potatoes. I have potato blood in my veins. My life is potato. In your working life and in your living, it's always potatoes."
     GRADIO_THEME = gr.themes.Origin()
     GRADIO_TITLE: str = "BLT's Entropy-based Patcher vs. Tokenizer Visualisation"
     GRADIO_DESC: str = (
         "Enter text to visualize its segmentation according to different methods:\n"
-        f"1.  **Byte Latent Transformer (BLT):** Entropy-based patching plot and patched text. Spaces are replaced by '_'. Using `blt_main_entropy_100m_512w`.\n"
+        f"1.  **Byte Latent Transformer (BLT):** Entropy-based patching plot and patched text. Spaces are replaced by '_' for viz purposes. Using `blt_main_entropy_100m_512w`.\n"
         f"2.  **Tiktoken (GPT-4):** Text segmented by `{TIKTOKEN_ENCODING_NAME}` tokens.\n"
-        f"3.  **Llama 3:** Text segmented by the `{LLAMA3_MODEL_NAME}` tokenizer.\n"
+        f"3.  **Llama 3:** Text segmented by the `{LLAMA3_MODEL_NAME}` tokenizer.\n\n\n"
         "Blog post coming soon, https://lucalp.dev/ or [@lucalp__](https://twitter.com/lucalp__) for updates."
     )