Update app.py

app.py

@@ -67,6 +67,24 @@ if torch.cuda.is_available():
     tokenizer = AutoTokenizer.from_pretrained(model_id)
     tokenizer.use_default_system_prompt = False
 
+def generate(message):
+    return message.upper()
+
+chat_interface = gr.ChatInterface(
+    fn=generate,
+    theme="soft",
+    retry_btn=None,
+    clear_btn=None,
+    undo_btn=None,
+    chatbot=gr.Chatbot(avatar_images=('user.png', 'bot.png'), bubble_full_width = False), 
+    examples=[
+        ["Can you explain the rules very briefly again?"],
+        ["How much should I invest in order to win?"],
+        ["What happened in the last round?"],
+        ["What is my probability to win if I do not share anything?"],
+    ],
+)
+
 with gr.Blocks(css="style.css") as demo:
     ## gradio-chatbot-read-query-param   
     def get_window_url_params():
@@ -227,21 +245,6 @@ with gr.Blocks(css="style.css") as demo:
         #gr.Markdown(DESCRIPTION)
         #gr.DuplicateButton(value="Duplicate Space for private use", elem_id="duplicate-button")
         ## gradio-chatbot-read-query-param
-        
-    chat_interface = gr.ChatInterface(
-        fn=generate,
-        theme="soft",
-        retry_btn=None,
-        clear_btn=None,
-        undo_btn=None,
-        chatbot=gr.Chatbot(avatar_images=('user.png', 'bot.png'), bubble_full_width = False), 
-        examples=[
-            ["Can you explain the rules very briefly again?"],
-            ["How much should I invest in order to win?"],
-            ["What happened in the last round?"],
-            ["What is my probability to win if I do not share anything?"],
-        ],
-    )
 
     def get_session_index(chat_history, url_params):
         if chat_history and bool(chat_history[-1][0].strip()):
@@ -280,6 +283,7 @@ with gr.Blocks(css="style.css") as demo:
     chat_interface.render()
     #gr.Markdown(LICENSE)
 
+
 if __name__ == "__main__":
     #demo.queue(max_size=20).launch()
     demo.queue(max_size=20)