Update app.py

app.py

@@ -14,7 +14,7 @@ def respond(
     """
     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
     """
-    client = InferenceClient(token=hf_token.token, model="deepseek-ai/DeepSeek-V3.2-Exp")
+    client = InferenceClient(token=hf_token.token, model="zai-org/GLM-4.6")
 
     messages = [{"role": "system", "content": system_message}]
 
@@ -47,7 +47,7 @@ chatbot = gr.ChatInterface(
     respond,
     type="messages",
     additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot. Your name is ButterAI. Your creator is Arthur.", label="System message"),
+        gr.Textbox(value="You are a deep thinking AI, you may use extremely long chains of thought to deeply consider the problem and deliberate with yourself via systematic reasoning processes to help come to a correct solution prior to answering. You should enclose your thoughts and internal monologue inside tags, and then provide your solution or response to the problem. Extract key search terms from the user's question that would be effective for web searches. Provide these as a search query with words separated by spaces only, without commas. For example: 'Prime Minister Han Duck-soo impeachment results. Your name is ButterAI.", 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(