Update app.py

app.py

@@ -7,10 +7,11 @@ HF_TOKEN = os.environ.get("HF_TOKEN")
 
 def respond(
     message,
+    history: list[dict[str, str]],
+    system_message,
     max_tokens,
     temperature,
     top_p,
-
 ):
     """
     For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
@@ -45,7 +46,26 @@ def respond(
             
     except Exception as e:
         yield f"❌ Erreur : {str(e)}"
+
+
+"""
+For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
 """
+chatbot = gr.ChatInterface(
+    respond,
+    type="messages",
+    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"),
+        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
+        gr.Slider(
+            minimum=0.1,
+            maximum=1.0,
+            value=0.95,
+            step=0.05,
+            label="Top-p (nucleus sampling)",
+        ),
+    ],
 )
 
 with gr.Blocks() as demo: