update

app.py

@@ -5,7 +5,7 @@ def show_available_llms():
     chaine = ""
     for k in model_dict.keys():
         chaine+=k + "\n"
-    return f"Available models with ParaPLUIE: \n{chaine}"
+    return f"Available models with ParaPLUIE: \n\n{chaine}"
 
 with gr.Blocks() as demo:
     gr.Markdown(
@@ -19,6 +19,6 @@ with gr.Blocks() as demo:
     ParaPLUIE use the perplexity of an LLM to compute a confidence score.
     It has shown the highest correlation with human judgement on paraphrase classification meanwhile reamin the computional cost low as it roughtly equal to one token generation cost.
     """)
-    out = gr.Textbox(show_available_llms())
+    out = gr.Textbox(show_available_llms(), show_label=False)
 
 demo.launch()