update

app.py

@@ -1,7 +1,11 @@
 import gradio as gr
+from code.PPLUIE.config import model_dict
 
-def welcome(name):
-    return f"Welcome to Gradio, {name}!"
+def show_available_llms():
+    chaine = ""
+    for k in model_dict.keys()
+    chaine+=k + "\n"
+    return f"Available models with ParaPLUIE: \n"
 
 with gr.Blocks() as demo:
     gr.Markdown(
@@ -15,8 +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.
     """)
-    inp = gr.Textbox(placeholder="What is your name?")
-    out = gr.Textbox()
-    inp.change(welcome, inp, out)
+    out = gr.Textbox(show_available_llms())
 
 demo.launch()