Update app.py

app.py

@@ -95,7 +95,7 @@ with gr.Blocks() as demo:
         submit = gr.Button("Submit")
         box_for_plot = gr.Image(label="Visualization", type="pil")
 
-        with gr.Accordion("📘 Full Legend and Interpretation", open=False):
+        with gr.Accordion("📘 More Info and Explanation", open=False):
             gr.Markdown("""
 This heatmap shows **how each token is processed** across layers of a language model. Here's how to read it:
 
@@ -115,6 +115,8 @@ This heatmap shows **how each token is processed** across layers of a language m
 
 Use this tool to **peek inside the black box** — it reveals which layers matter most, which tokens carry the most memory, and how LLMs evolve their predictions.
 
+---
+
 You can also use `llm-microscope` as a Python library to run these analyses on **your own models and data**.
 
 Just install it with: `pip install llm-microscope`