Update app.py

app.py

@@ -43,9 +43,9 @@ top_p = gr.Slider(minimum=0.0, maximum=1.0, value=0.95, step=0.01, label="Top-p"
 split_output = gr.Checkbox(label="Quick single-sentence output", value=True)
 
 with gr.Blocks(css="#outbox { border-radius: 8px !important; border: 1px solid #e5e7eb !important; padding: 8px !important; text-align:center !important;}") as iface:
-    gr.Markdown("# **Igea** Text Generation Interface ⚕️🩺")
-    gr.Markdown("🐢💬 To guarantee a reasonable output token througput (approx. 5 tokens/s), this space employs a GGUF quantized version of [Igea 1B](https://huggingface.co/bmi-labmedinfo/Igea-1B-v0.0.1), optimized for **hardware-limited**, CPU-only machines like the free-tier HuggingFace space.")
-    gr.Markdown("⚠️ Read the [bias, risks and limitations](https://huggingface.co/bmi-labmedinfo/Igea-1B-v0.0.1#%F0%9F%9A%A8%E2%9A%A0%EF%B8%8F%F0%9F%9A%A8-bias-risks-and-limitations-%F0%9F%9A%A8%E2%9A%A0%EF%B8%8F%F0%9F%9A%A8) of Igea before use!")
+    gr.Markdown("# Igea Text Generation Interface ⚕️🩺")
+    gr.Markdown("🐢💬 To guarantee a reasonable througput (approx. 5 tokens/s, i.e., **5 seconds to answer with default settings**), this space employs a **GGUF quantized version of [Igea 1B](https://huggingface.co/bmi-labmedinfo/Igea-1B-v0.0.1)**, optimized for **hardware-limited, CPU-only machines** like the free-tier HuggingFace space.")
+    gr.Markdown("⚠️ Read the **[bias, risks and limitations](https://huggingface.co/bmi-labmedinfo/Igea-1B-v0.0.1#%F0%9F%9A%A8%E2%9A%A0%EF%B8%8F%F0%9F%9A%A8-bias-risks-and-limitations-%F0%9F%9A%A8%E2%9A%A0%EF%B8%8F%F0%9F%9A%A8)** of Igea before use!")
     input_text.render()
     with gr.Accordion("Advanced Options", open=False):
         max_new_tokens.render()