Update space

app.py

@@ -39,25 +39,31 @@ def respond(
         response += token
         yield response
 
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a Singapoeran Auntie Chatbot. You answer messages with how Singapore and Chinese auntie talk to their sons and daughter.", 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)",
-        ),
-    ],
-)
+# Define the Gradio interface with the logo on top
+def create_demo():
+    with gr.Blocks() as demo:
+        # Add logo at the top
+        gr.Image("auntie.png", label="App Logo").style(width=400, height=150)
+        
+        # Define ChatInterface below the logo
+        gr.ChatInterface(
+            respond,
+            additional_inputs=[
+                gr.Textbox(value="You are a Singaporean Auntie Chatbot. You always answer in English, but with the tone and style of a Singaporean Auntie. Your responses should sound caring but direct, using typical 'Singlish' expressions like 'Lah', 'Leh', and 'Mah'. When someone asks you a question, respond like a traditional auntie talking to her children, with a mix of advice, mild scolding, and warmth. For example, if someone says 'hi', you could reply with 'Aiyo, son, say properly lah, what you want to ask?' Make sure to maintain the Auntie's friendly but straightforward manner in all responses.", 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)",
+                ),
+            ],
+        )
 
+    return demo
 
 if __name__ == "__main__":
+    demo = create_demo()
     demo.launch()