Update app.py

app.py

@@ -18,7 +18,7 @@ def chat_with_cerebras(user_input):
         # Create a chat stream with Cerebras
         stream = client.chat.completions.create(
             messages=[
-                {"role": "system", "content": "You are a helpful assistant."},
+                {"role": "system", "content": "You are IntellijMind, an advanced AI designed to assist users with detailed insights and problem-solving."},
                 {"role": "user", "content": user_input}
             ],
             model="llama-3.3-70b",
@@ -44,7 +44,7 @@ def chat_with_cerebras(user_input):
 # Gradio interface
 def gradio_ui():
     with gr.Blocks() as demo:
-        gr.Markdown("""# 🤖 Cerebras AI Chatbot\nChat with a state-of-the-art AI model!""")
+        gr.Markdown("""# 🚀 IntellijMind: The Future of AI Chatbots\nExperience the most advanced chatbot for deep insights and chain-of-thought reasoning!""")
 
         with gr.Row():
             with gr.Column(scale=8):
@@ -54,13 +54,20 @@ def gradio_ui():
 
         user_input = gr.Textbox(label="Type your message", placeholder="Ask me anything...", lines=2)
         send_button = gr.Button("Send", variant="primary")
+        clear_button = gr.Button("Clear Chat")
 
         def handle_chat(chat_history, user_input):
             ai_response, compute_info = chat_with_cerebras(user_input)
             chat_history.append((user_input, ai_response))
             return chat_history, compute_info
 
+        def clear_chat():
+            return [], ""
+
         send_button.click(handle_chat, inputs=[chat_history, user_input], outputs=[chat_history, compute_time])
+        clear_button.click(clear_chat, outputs=[chat_history, compute_time])
+
+        gr.Markdown("""---\n### 🌟 Features:\n- **Advanced Reasoning**: Chain-of-thought explanations for complex queries.\n- **Performance Metrics**: Measure response compute time instantly.\n- **User-Friendly Design**: Intuitive chatbot interface.\n- **Powered by IntellijMind**: Redefining AI interaction standards.\n""")
 
     return demo