update

app.py

@@ -4,7 +4,7 @@ import gradio as gr
 def show_available_llms():
     chaine = ""
     for k in model_dict.keys():
-        chaine+=k + "\n"
+        chaine+="\t"+ k + "\n"
     return f"Available models with ParaPLUIE: \n\n{chaine}"
 
 with gr.Blocks() as demo:
@@ -19,6 +19,10 @@ 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(), show_label=False)
+    text_box = gr.Textbox(show_available_llms(), show_label=False)
+
+    with gr.Row():
+        gr.Image("lion.jpg", scale=2)
+        gr.Image("tiger.jpg", scale=1)
 
 demo.launch()