Update app.py

app.py

@@ -1,7 +1,6 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
-
 def respond(
     message,
     history: list[dict[str, str]],
@@ -11,6 +10,8 @@ def respond(
     top_p,
     hf_token: gr.OAuthToken,
 ):
+    if hf_token is None:
+        raise gr.Error("Veuillez vous connecter via le bouton pour utiliser le chatbot.")
 
     client = InferenceClient(token=hf_token.token, model="deepseek-ai/DeepSeek-V3.2")
 
@@ -35,16 +36,13 @@ def respond(
         response += token
         yield response
 
-
-
-custom_theme = gr.themes.Soft(
+theme = gr.themes.Soft(
     primary_hue="indigo",
     secondary_hue="violet",
 )
 
-custom_css = """
-h1 { text-align: center; color: #4f46e5; margin-bottom: 0; }
-.description { text-align: center; color: #666; margin-bottom: 20px; }
+css = """
+h1 { text-align: center; color: #4f46e5; }
 """
 
 my_chatbot = gr.Chatbot(
@@ -54,10 +52,11 @@ my_chatbot = gr.Chatbot(
     show_copy_button=True
 )
 
-chat_interface = gr.ChatInterface(
+chat = gr.ChatInterface(
     respond,
     chatbot=my_chatbot,
     type="messages",
+    title="Le chatbot qu'il vous faut",
     additional_inputs=[
         gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
         gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
@@ -66,18 +65,14 @@ chat_interface = gr.ChatInterface(
     ],
 )
 
-with gr.Blocks(theme=custom_theme, css=custom_css, title="Chatbot DeepSeek") as demo:
-    gr.Markdown("# ✨ Le Chatbot qu'il vous faut")
-    gr.Markdown("Une interface intelligente propulsée par DeepSeek AI.", elem_classes="description")
-
+with gr.Blocks(theme=theme, css=css) as demo:
     with gr.Row():
         with gr.Column(scale=1, min_width=200):
-            gr.Markdown("### 🔐 Accès")
-            gr.LoginButton(value="Connexion HF")
-            gr.Markdown("Connectez-vous pour utiliser le modèle.")
-
+            gr.Markdown("### Authentification")
+            gr.LoginButton()
+        
         with gr.Column(scale=4):
-            chat_interface.render()
+            chat.render()
 
 if __name__ == "__main__":
     demo.launch(ssr_mode=False)